FPA Project
Multivariate Models
We now consider fitting multivariate models and, in each case, comparing them with the univariate benchmarks obtained in Section 1 as well as between themselves. Assessments are made at the h = 1 horizon for point & probabilistic forecasts.
1. Consider a VAR model for each store and obtain resulting forecasts for the testing sample
Analysis for the first store CA_1
We start by loading the required packages, including the “vars” package which will have a host of commands necessary for us to run the VAR and the diagnostic tests and applications to follow. We then see the plots of each variable and judge some initial conditions such as stationarity. We need to declare each variable in the dataset as a time series using the ts() command and visualize our series using the ts_plot() command.
# Read the csv file
sales <- read.csv(file = 'Projectdata.csv')
# Convert data to time series object
Hobbies_CA_1 <- ts(sales$Hobbies_CA_1, start = c(2011,1,29), frequency = 365.25)
Household_1_CA_1 <- ts(sales$Household_1_CA_1, start = c(2011,1,29), frequency = 365.25)
Household_2_CA_1 <- ts(sales$Household_2_CA_1, start = c(2011,1,29), frequency = 365.25)
Foods_1_CA_1 <- ts(sales$Foods_1_CA_1, start = c(2011,1,29), frequency = 365.25)
Foods_2_CA_1 <- ts(sales$Foods_2_CA_1, start = c(2011,1,29), frequency = 365.25)
Foods_3_CA_1 <- ts(sales$Foods_3_CA_1, start = c(2011,1,29), frequency = 365.25)
ts_plot(Hobbies_CA_1)ts_plot(Household_1_CA_1)ts_plot(Household_2_CA_1)ts_plot(Foods_1_CA_1)ts_plot(Foods_2_CA_1)ts_plot(Foods_3_CA_1)It is important to assess whether the variables under study are stationary or not and having stationary variables is of an ideal case in our VAR. For simplicity, we will use the Phillips Perron so we would not need to specify the number of lags. In the estimation below, we find that all variables are stationary over certain lags.
pp.test(Hobbies_CA_1)## Warning in pp.test(Hobbies_CA_1): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Hobbies_CA_1
## Dickey-Fuller Z(alpha) = -1308, Truncation lag parameter = 8, p-value =
## 0.01
## alternative hypothesis: stationarypp.test(Household_1_CA_1)## Warning in pp.test(Household_1_CA_1): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Household_1_CA_1
## Dickey-Fuller Z(alpha) = -764.73, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Household_2_CA_1)## Warning in pp.test(Household_2_CA_1): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Household_2_CA_1
## Dickey-Fuller Z(alpha) = -912.68, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_1_CA_1)## Warning in pp.test(Foods_1_CA_1): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_1_CA_1
## Dickey-Fuller Z(alpha) = -865.79, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_2_CA_1)## Warning in pp.test(Foods_2_CA_1): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_2_CA_1
## Dickey-Fuller Z(alpha) = -747.57, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_3_CA_1)## Warning in pp.test(Foods_3_CA_1): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_3_CA_1
## Dickey-Fuller Z(alpha) = -713.28, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationaryWe first build the VAR system with the cbind() command which essentially groups our time series. We will order this in the desired order that we see fit. We will store this in an object called “v1”. We will then rename the variables as the list to follow using the colnames() command. We then determine some lag order by using VARselect() command with a maximum lag order of 60. The command will automatically generate the preferred lag order based on the multivariate iterations of the AIC, SBIC, HQIC and the FPE.
v1 <- cbind(Hobbies_CA_1, Household_1_CA_1, Household_2_CA_1, Foods_1_CA_1, Foods_2_CA_1, Foods_3_CA_1)
colnames(v1) <- cbind("Hobbies_CA_1","Household_1_CA_1","Household_2_CA_1", "Foods_1_CA_1", 'Foods_2_CA_1', 'Foods_3_CA_1')
lagselect <- VARselect(v1, lag.max = 60, type = "const")
lagselect$selection## AIC(n) HQ(n) SC(n) FPE(n)
## 28 7 7 28Running the commands suggests that the lag order to be used is 28. We estimate the VAR using the VAR() command. Since we determined that 28 lags is best, we set the p option to 2. We let it be a typical unrestricted VAR with a constant and we will specify no exogenous variables in the system. The summary() command lists down the results.
Model1 <- VAR(v1, p = 28, type = "const", season = NULL, exog = NULL)
summary(Model1)##
## VAR Estimation Results:
## =========================
## Endogenous variables: Hobbies_CA_1, Household_1_CA_1, Household_2_CA_1, Foods_1_CA_1, Foods_2_CA_1, Foods_3_CA_1
## Deterministic variables: const
## Sample size: 1941
## Log Likelihood: -58492.3
## Roots of the characteristic polynomial:
## 0.9989 0.9989 0.9984 0.9936 0.992 0.992 0.9867 0.9867 0.9844 0.9805 0.9761 0.9761 0.9729 0.9729 0.9721 0.9721 0.9624 0.9624 0.952 0.952 0.9515 0.9515 0.9486 0.9486 0.9477 0.9477 0.9466 0.9466 0.9466 0.9466 0.9465 0.9465 0.9463 0.9463 0.943 0.943 0.943 0.943 0.9403 0.9403 0.9401 0.9401 0.9401 0.9399 0.9399 0.9395 0.9395 0.9377 0.9377 0.9371 0.9371 0.9368 0.9368 0.9365 0.9365 0.936 0.936 0.9359 0.9359 0.9359 0.9359 0.9352 0.9352 0.9342 0.9342 0.9325 0.9325 0.9325 0.9325 0.9324 0.9324 0.9318 0.9318 0.9307 0.9307 0.9306 0.9306 0.9298 0.9298 0.9288 0.9288 0.9275 0.9275 0.9272 0.9272 0.9259 0.9259 0.9255 0.9255 0.9249 0.9249 0.9247 0.9247 0.924 0.924 0.9236 0.9236 0.9225 0.9225 0.9223 0.9223 0.9217 0.9217 0.9195 0.9195 0.9184 0.9184 0.9175 0.9175 0.9174 0.9174 0.9158 0.9158 0.9146 0.9146 0.9143 0.9143 0.9127 0.9127 0.9125 0.9125 0.9113 0.9113 0.9107 0.9107 0.9099 0.9099 0.9094 0.9094 0.9092 0.9092 0.9088 0.9088 0.9025 0.9025 0.9005 0.9005 0.9005 0.9005 0.9005 0.9005 0.8996 0.8955 0.8955 0.8933 0.8933 0.8932 0.8932 0.8758 0.8758 0.8735 0.8735 0.8721 0.8721 0.8689 0.8689 0.8642 0.8642 0.7788 0.7788 0.7403 0.7403 0.7289 0.7089 0.7089 0.6228 0.6228 0.1806
## Call:
## VAR(y = v1, p = 28, type = "const", exogen = NULL)
##
##
## Estimation results for equation Hobbies_CA_1:
## =============================================
## Hobbies_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.1592642 0.0255437 6.235 5.64e-10 ***
## Household_1_CA_1.l1 0.0581590 0.0587597 0.990 0.322418
## Household_2_CA_1.l1 0.1374725 0.1001903 1.372 0.170201
## Foods_1_CA_1.l1 0.0634799 0.0662419 0.958 0.338040
## Foods_2_CA_1.l1 -0.0792069 0.0388862 -2.037 0.041810 *
## Foods_3_CA_1.l1 -0.0213182 0.0128867 -1.654 0.098248 .
## Hobbies_CA_1.l2 0.0807449 0.0258606 3.122 0.001823 **
## Household_1_CA_1.l2 0.0066810 0.0596896 0.112 0.910893
## Household_2_CA_1.l2 0.0568204 0.1010959 0.562 0.574157
## Foods_1_CA_1.l2 -0.0287366 0.0694729 -0.414 0.679189
## Foods_2_CA_1.l2 0.0469106 0.0415361 1.129 0.258885
## Foods_3_CA_1.l2 -0.0461397 0.0136061 -3.391 0.000711 ***
## Hobbies_CA_1.l3 0.0521491 0.0259476 2.010 0.044605 *
## Household_1_CA_1.l3 -0.0350095 0.0597806 -0.586 0.558197
## Household_2_CA_1.l3 0.0171067 0.1014757 0.169 0.866147
## Foods_1_CA_1.l3 -0.0518696 0.0698384 -0.743 0.457756
## Foods_2_CA_1.l3 0.0533807 0.0418562 1.275 0.202357
## Foods_3_CA_1.l3 -0.0148684 0.0137497 -1.081 0.279684
## Hobbies_CA_1.l4 0.0631584 0.0259369 2.435 0.014987 *
## Household_1_CA_1.l4 -0.1383261 0.0597034 -2.317 0.020623 *
## Household_2_CA_1.l4 -0.2043224 0.1013226 -2.017 0.043893 *
## Foods_1_CA_1.l4 -0.0713971 0.0700873 -1.019 0.308491
## Foods_2_CA_1.l4 -0.0558780 0.0418657 -1.335 0.182147
## Foods_3_CA_1.l4 0.0340244 0.0137360 2.477 0.013341 *
## Hobbies_CA_1.l5 0.0278357 0.0258779 1.076 0.282228
## Household_1_CA_1.l5 0.0798901 0.0596996 1.338 0.181002
## Household_2_CA_1.l5 -0.1764727 0.1017934 -1.734 0.083157 .
## Foods_1_CA_1.l5 0.1570730 0.0702593 2.236 0.025501 *
## Foods_2_CA_1.l5 0.0477287 0.0420052 1.136 0.256003
## Foods_3_CA_1.l5 -0.0438231 0.0137510 -3.187 0.001463 **
## Hobbies_CA_1.l6 0.0156029 0.0258828 0.603 0.546700
## Household_1_CA_1.l6 -0.0770885 0.0597659 -1.290 0.197274
## Household_2_CA_1.l6 0.1848030 0.1018678 1.814 0.069824 .
## Foods_1_CA_1.l6 -0.0473328 0.0702049 -0.674 0.500266
## Foods_2_CA_1.l6 -0.0476058 0.0421198 -1.130 0.258524
## Foods_3_CA_1.l6 0.0413824 0.0138113 2.996 0.002771 **
## Hobbies_CA_1.l7 0.0535327 0.0259144 2.066 0.038997 *
## Household_1_CA_1.l7 0.0619073 0.0600498 1.031 0.302712
## Household_2_CA_1.l7 0.1719534 0.1023837 1.679 0.093231 .
## Foods_1_CA_1.l7 0.0756101 0.0701346 1.078 0.281148
## Foods_2_CA_1.l7 0.0650842 0.0421126 1.545 0.122409
## Foods_3_CA_1.l7 -0.0112502 0.0138631 -0.812 0.417175
## Hobbies_CA_1.l8 -0.0146750 0.0259199 -0.566 0.571351
## Household_1_CA_1.l8 -0.0216151 0.0596866 -0.362 0.717288
## Household_2_CA_1.l8 -0.0243222 0.1028500 -0.236 0.813086
## Foods_1_CA_1.l8 0.0659009 0.0701608 0.939 0.347714
## Foods_2_CA_1.l8 -0.0202892 0.0422561 -0.480 0.631180
## Foods_3_CA_1.l8 -0.0046539 0.0139606 -0.333 0.738904
## Hobbies_CA_1.l9 0.0186893 0.0259694 0.720 0.471825
## Household_1_CA_1.l9 0.0492823 0.0596906 0.826 0.409126
## Household_2_CA_1.l9 0.0515418 0.1026566 0.502 0.615674
## Foods_1_CA_1.l9 -0.1257596 0.0701686 -1.792 0.073264 .
## Foods_2_CA_1.l9 -0.0090448 0.0422199 -0.214 0.830392
## Foods_3_CA_1.l9 0.0102211 0.0139177 0.734 0.462806
## Hobbies_CA_1.l10 0.0460505 0.0258962 1.778 0.075531 .
## Household_1_CA_1.l10 0.0171761 0.0596108 0.288 0.773275
## Household_2_CA_1.l10 -0.0438138 0.1025952 -0.427 0.669391
## Foods_1_CA_1.l10 0.0184224 0.0702533 0.262 0.793176
## Foods_2_CA_1.l10 -0.0080917 0.0422665 -0.191 0.848199
## Foods_3_CA_1.l10 0.0125298 0.0139726 0.897 0.369980
## Hobbies_CA_1.l11 0.0508955 0.0258934 1.966 0.049504 *
## Household_1_CA_1.l11 0.0640000 0.0594477 1.077 0.281817
## Household_2_CA_1.l11 -0.0396317 0.1026776 -0.386 0.699556
## Foods_1_CA_1.l11 -0.0424614 0.0703538 -0.604 0.546226
## Foods_2_CA_1.l11 0.0685918 0.0423067 1.621 0.105132
## Foods_3_CA_1.l11 -0.0204283 0.0139718 -1.462 0.143889
## Hobbies_CA_1.l12 0.0065523 0.0259043 0.253 0.800341
## Household_1_CA_1.l12 -0.0702404 0.0595639 -1.179 0.238459
## Household_2_CA_1.l12 -0.0585423 0.1025136 -0.571 0.568025
## Foods_1_CA_1.l12 -0.1538886 0.0703876 -2.186 0.028924 *
## Foods_2_CA_1.l12 -0.0724866 0.0423415 -1.712 0.087081 .
## Foods_3_CA_1.l12 0.0327557 0.0139648 2.346 0.019107 *
## Hobbies_CA_1.l13 0.0147854 0.0258516 0.572 0.567439
## Household_1_CA_1.l13 0.0387879 0.0595022 0.652 0.514567
## Household_2_CA_1.l13 0.0975671 0.1022115 0.955 0.339930
## Foods_1_CA_1.l13 0.0677152 0.0705271 0.960 0.337121
## Foods_2_CA_1.l13 -0.0543229 0.0424158 -1.281 0.200459
## Foods_3_CA_1.l13 0.0056006 0.0139865 0.400 0.688889
## Hobbies_CA_1.l14 0.0730914 0.0258137 2.831 0.004685 **
## Household_1_CA_1.l14 0.0678331 0.0596669 1.137 0.255749
## Household_2_CA_1.l14 0.0959409 0.1021218 0.939 0.347615
## Foods_1_CA_1.l14 0.0010310 0.0705974 0.015 0.988349
## Foods_2_CA_1.l14 0.0825523 0.0424846 1.943 0.052161 .
## Foods_3_CA_1.l14 -0.0241155 0.0139325 -1.731 0.083646 .
## Hobbies_CA_1.l15 0.0289120 0.0258442 1.119 0.263418
## Household_1_CA_1.l15 0.0234709 0.0600309 0.391 0.695859
## Household_2_CA_1.l15 -0.1679079 0.1017794 -1.650 0.099177 .
## Foods_1_CA_1.l15 -0.0263935 0.0706016 -0.374 0.708570
## Foods_2_CA_1.l15 0.0634076 0.0423644 1.497 0.134645
## Foods_3_CA_1.l15 -0.0015679 0.0138833 -0.113 0.910095
## Hobbies_CA_1.l16 0.0319159 0.0258821 1.233 0.217692
## Household_1_CA_1.l16 -0.0082445 0.0601165 -0.137 0.890934
## Household_2_CA_1.l16 0.0146666 0.1015792 0.144 0.885212
## Foods_1_CA_1.l16 -0.0354057 0.0706090 -0.501 0.616128
## Foods_2_CA_1.l16 -0.0783187 0.0423883 -1.848 0.064820 .
## Foods_3_CA_1.l16 0.0285866 0.0138681 2.061 0.039419 *
## Hobbies_CA_1.l17 -0.0582978 0.0258415 -2.256 0.024194 *
## Household_1_CA_1.l17 0.1061997 0.0601504 1.766 0.077640 .
## Household_2_CA_1.l17 -0.0730089 0.1015665 -0.719 0.472341
## Foods_1_CA_1.l17 0.0636495 0.0706679 0.901 0.367878
## Foods_2_CA_1.l17 0.0116101 0.0424026 0.274 0.784266
## Foods_3_CA_1.l17 -0.0047643 0.0138706 -0.343 0.731276
## Hobbies_CA_1.l18 0.0502210 0.0258124 1.946 0.051858 .
## Household_1_CA_1.l18 0.0629043 0.0603016 1.043 0.297016
## Household_2_CA_1.l18 -0.0036594 0.1014501 -0.036 0.971230
## Foods_1_CA_1.l18 0.0386731 0.0706880 0.547 0.584381
## Foods_2_CA_1.l18 0.0003772 0.0424078 0.009 0.992904
## Foods_3_CA_1.l18 -0.0200364 0.0138659 -1.445 0.148630
## Hobbies_CA_1.l19 0.0613942 0.0258431 2.376 0.017624 *
## Household_1_CA_1.l19 -0.0260741 0.0602895 -0.432 0.665444
## Household_2_CA_1.l19 0.1703414 0.1016286 1.676 0.093892 .
## Foods_1_CA_1.l19 -0.0926053 0.0706022 -1.312 0.189809
## Foods_2_CA_1.l19 0.0546985 0.0424385 1.289 0.197605
## Foods_3_CA_1.l19 -0.0108390 0.0138981 -0.780 0.435560
## Hobbies_CA_1.l20 0.0001530 0.0258663 0.006 0.995281
## Household_1_CA_1.l20 0.0427819 0.0603674 0.709 0.478609
## Household_2_CA_1.l20 0.0080036 0.1015880 0.079 0.937212
## Foods_1_CA_1.l20 -0.0585872 0.0704337 -0.832 0.405630
## Foods_2_CA_1.l20 0.0258585 0.0424695 0.609 0.542686
## Foods_3_CA_1.l20 -0.0001781 0.0139007 -0.013 0.989781
## Hobbies_CA_1.l21 -0.0018831 0.0258150 -0.073 0.941859
## Household_1_CA_1.l21 0.0104986 0.0603464 0.174 0.861908
## Household_2_CA_1.l21 0.0719698 0.1018035 0.707 0.479691
## Foods_1_CA_1.l21 -0.1083205 0.0704618 -1.537 0.124400
## Foods_2_CA_1.l21 -0.0145535 0.0424869 -0.343 0.731984
## Foods_3_CA_1.l21 0.0108188 0.0138790 0.780 0.435784
## Hobbies_CA_1.l22 -0.0295953 0.0257406 -1.150 0.250402
## Household_1_CA_1.l22 -0.0170097 0.0608306 -0.280 0.779798
## Household_2_CA_1.l22 -0.0097225 0.1013022 -0.096 0.923551
## Foods_1_CA_1.l22 0.1620441 0.0704991 2.299 0.021648 *
## Foods_2_CA_1.l22 -0.0096419 0.0423624 -0.228 0.819979
## Foods_3_CA_1.l22 -0.0001125 0.0138029 -0.008 0.993499
## Hobbies_CA_1.l23 0.0358913 0.0257160 1.396 0.162986
## Household_1_CA_1.l23 -0.1086268 0.0607453 -1.788 0.073909 .
## Household_2_CA_1.l23 0.0670586 0.1008423 0.665 0.506147
## Foods_1_CA_1.l23 -0.1877066 0.0706143 -2.658 0.007927 **
## Foods_2_CA_1.l23 -0.0692748 0.0422817 -1.638 0.101513
## Foods_3_CA_1.l23 0.0157634 0.0137621 1.145 0.252188
## Hobbies_CA_1.l24 -0.0567152 0.0257209 -2.205 0.027580 *
## Household_1_CA_1.l24 -0.0193999 0.0603529 -0.321 0.747914
## Household_2_CA_1.l24 0.1105260 0.1007422 1.097 0.272739
## Foods_1_CA_1.l24 0.1221784 0.0707837 1.726 0.084507 .
## Foods_2_CA_1.l24 0.0187241 0.0422204 0.443 0.657470
## Foods_3_CA_1.l24 -0.0072023 0.0137742 -0.523 0.601120
## Hobbies_CA_1.l25 -0.0316637 0.0257461 -1.230 0.218919
## Household_1_CA_1.l25 -0.0170964 0.0603218 -0.283 0.776888
## Household_2_CA_1.l25 0.0080608 0.1004270 0.080 0.936035
## Foods_1_CA_1.l25 0.0145160 0.0707191 0.205 0.837390
## Foods_2_CA_1.l25 -0.1064808 0.0421624 -2.525 0.011640 *
## Foods_3_CA_1.l25 0.0157214 0.0137908 1.140 0.254444
## Hobbies_CA_1.l26 0.0133280 0.0257441 0.518 0.604726
## Household_1_CA_1.l26 -0.0901206 0.0604314 -1.491 0.136064
## Household_2_CA_1.l26 -0.0485910 0.1002758 -0.485 0.628039
## Foods_1_CA_1.l26 0.0717869 0.0702146 1.022 0.306735
## Foods_2_CA_1.l26 0.0577271 0.0421591 1.369 0.171089
## Foods_3_CA_1.l26 0.0005516 0.0137890 0.040 0.968098
## Hobbies_CA_1.l27 0.0081460 0.0255780 0.318 0.750161
## Household_1_CA_1.l27 0.0417045 0.0601899 0.693 0.488474
## Household_2_CA_1.l27 -0.0852248 0.0999891 -0.852 0.394140
## Foods_1_CA_1.l27 0.1560365 0.0697673 2.237 0.025441 *
## Foods_2_CA_1.l27 -0.0534564 0.0417873 -1.279 0.200976
## Foods_3_CA_1.l27 -0.0011330 0.0136800 -0.083 0.934001
## Hobbies_CA_1.l28 0.0814173 0.0251255 3.240 0.001216 **
## Household_1_CA_1.l28 0.0562325 0.0583888 0.963 0.335644
## Household_2_CA_1.l28 -0.2135404 0.0988490 -2.160 0.030885 *
## Foods_1_CA_1.l28 0.0651742 0.0665370 0.980 0.327458
## Foods_2_CA_1.l28 0.0264673 0.0393069 0.673 0.500813
## Foods_3_CA_1.l28 0.0160523 0.0129027 1.244 0.213625
## const 41.7738205 21.1314924 1.977 0.048213 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 60.53 on 1772 degrees of freedom
## Multiple R-Squared: 0.572, Adjusted R-squared: 0.5314
## F-statistic: 14.1 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_1:
## =================================================
## Household_1_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 -0.0022587 0.0125168 -0.180 0.85682
## Household_1_CA_1.l1 0.2007818 0.0287931 6.973 4.35e-12 ***
## Household_2_CA_1.l1 0.1432003 0.0490946 2.917 0.00358 **
## Foods_1_CA_1.l1 0.0734282 0.0324594 2.262 0.02381 *
## Foods_2_CA_1.l1 -0.0060320 0.0190548 -0.317 0.75161
## Foods_3_CA_1.l1 -0.0139050 0.0063147 -2.202 0.02779 *
## Hobbies_CA_1.l2 0.0024779 0.0126721 0.196 0.84499
## Household_1_CA_1.l2 0.0777630 0.0292487 2.659 0.00792 **
## Household_2_CA_1.l2 -0.0995108 0.0495384 -2.009 0.04471 *
## Foods_1_CA_1.l2 0.0124295 0.0340426 0.365 0.71507
## Foods_2_CA_1.l2 0.0068886 0.0203532 0.338 0.73506
## Foods_3_CA_1.l2 -0.0160967 0.0066672 -2.414 0.01587 *
## Hobbies_CA_1.l3 -0.0065563 0.0127147 -0.516 0.60616
## Household_1_CA_1.l3 0.0204822 0.0292933 0.699 0.48451
## Household_2_CA_1.l3 0.0008958 0.0497245 0.018 0.98563
## Foods_1_CA_1.l3 -0.0233455 0.0342217 -0.682 0.49521
## Foods_2_CA_1.l3 0.0268428 0.0205101 1.309 0.19078
## Foods_3_CA_1.l3 -0.0018892 0.0067375 -0.280 0.77921
## Hobbies_CA_1.l4 -0.0094979 0.0127094 -0.747 0.45498
## Household_1_CA_1.l4 -0.0398989 0.0292555 -1.364 0.17280
## Household_2_CA_1.l4 -0.0966499 0.0496495 -1.947 0.05174 .
## Foods_1_CA_1.l4 -0.0207955 0.0343437 -0.606 0.54492
## Foods_2_CA_1.l4 -0.0324122 0.0205148 -1.580 0.11430
## Foods_3_CA_1.l4 0.0132573 0.0067308 1.970 0.04903 *
## Hobbies_CA_1.l5 0.0373150 0.0126805 2.943 0.00330 **
## Household_1_CA_1.l5 0.0392999 0.0292536 1.343 0.17931
## Household_2_CA_1.l5 -0.0412176 0.0498801 -0.826 0.40873
## Foods_1_CA_1.l5 -0.0232869 0.0344280 -0.676 0.49888
## Foods_2_CA_1.l5 0.0637348 0.0205831 3.096 0.00199 **
## Foods_3_CA_1.l5 -0.0267552 0.0067382 -3.971 7.45e-05 ***
## Hobbies_CA_1.l6 -0.0348751 0.0126829 -2.750 0.00602 **
## Household_1_CA_1.l6 0.0627253 0.0292861 2.142 0.03234 *
## Household_2_CA_1.l6 0.0741057 0.0499166 1.485 0.13783
## Foods_1_CA_1.l6 -0.0133855 0.0344014 -0.389 0.69725
## Foods_2_CA_1.l6 -0.0279091 0.0206393 -1.352 0.17647
## Foods_3_CA_1.l6 0.0058525 0.0067677 0.865 0.38729
## Hobbies_CA_1.l7 0.0088386 0.0126984 0.696 0.48650
## Household_1_CA_1.l7 0.0932695 0.0294252 3.170 0.00155 **
## Household_2_CA_1.l7 -0.0387933 0.0501694 -0.773 0.43948
## Foods_1_CA_1.l7 -0.0243711 0.0343669 -0.709 0.47833
## Foods_2_CA_1.l7 -0.0084303 0.0206357 -0.409 0.68293
## Foods_3_CA_1.l7 0.0153354 0.0067931 2.257 0.02410 *
## Hobbies_CA_1.l8 -0.0071486 0.0127011 -0.563 0.57362
## Household_1_CA_1.l8 0.0185186 0.0292472 0.633 0.52670
## Household_2_CA_1.l8 0.0038035 0.0503979 0.075 0.93985
## Foods_1_CA_1.l8 0.0099245 0.0343798 0.289 0.77287
## Foods_2_CA_1.l8 0.0063218 0.0207060 0.305 0.76016
## Foods_3_CA_1.l8 0.0022514 0.0068409 0.329 0.74211
## Hobbies_CA_1.l9 -0.0032590 0.0127254 -0.256 0.79790
## Household_1_CA_1.l9 -0.0019858 0.0292492 -0.068 0.94588
## Household_2_CA_1.l9 0.0338767 0.0503031 0.673 0.50075
## Foods_1_CA_1.l9 -0.0538902 0.0343836 -1.567 0.11722
## Foods_2_CA_1.l9 0.0309032 0.0206883 1.494 0.13542
## Foods_3_CA_1.l9 -0.0110325 0.0068199 -1.618 0.10591
## Hobbies_CA_1.l10 0.0109200 0.0126895 0.861 0.38960
## Household_1_CA_1.l10 0.0106391 0.0292101 0.364 0.71573
## Household_2_CA_1.l10 0.0862552 0.0502731 1.716 0.08639 .
## Foods_1_CA_1.l10 -0.0519606 0.0344251 -1.509 0.13138
## Foods_2_CA_1.l10 -0.0379198 0.0207112 -1.831 0.06729 .
## Foods_3_CA_1.l10 0.0121337 0.0068468 1.772 0.07654 .
## Hobbies_CA_1.l11 0.0104478 0.0126881 0.823 0.41037
## Household_1_CA_1.l11 -0.0254558 0.0291302 -0.874 0.38231
## Household_2_CA_1.l11 0.0312769 0.0503134 0.622 0.53426
## Foods_1_CA_1.l11 0.0439684 0.0344743 1.275 0.20234
## Foods_2_CA_1.l11 0.0232842 0.0207309 1.123 0.26152
## Foods_3_CA_1.l11 -0.0066477 0.0068464 -0.971 0.33169
## Hobbies_CA_1.l12 -0.0135837 0.0126935 -1.070 0.28470
## Household_1_CA_1.l12 -0.0007842 0.0291871 -0.027 0.97857
## Household_2_CA_1.l12 0.0017507 0.0502330 0.035 0.97220
## Foods_1_CA_1.l12 0.0233428 0.0344909 0.677 0.49863
## Foods_2_CA_1.l12 0.0116055 0.0207479 0.559 0.57599
## Foods_3_CA_1.l12 0.0036118 0.0068430 0.528 0.59770
## Hobbies_CA_1.l13 -0.0140484 0.0126676 -1.109 0.26758
## Household_1_CA_1.l13 0.0907936 0.0291569 3.114 0.00188 **
## Household_2_CA_1.l13 -0.0133388 0.0500850 -0.266 0.79002
## Foods_1_CA_1.l13 0.0086135 0.0345592 0.249 0.80320
## Foods_2_CA_1.l13 -0.0448060 0.0207843 -2.156 0.03124 *
## Foods_3_CA_1.l13 0.0058379 0.0068536 0.852 0.39444
## Hobbies_CA_1.l14 -0.0040888 0.0126491 -0.323 0.74654
## Household_1_CA_1.l14 0.1608110 0.0292376 5.500 4.35e-08 ***
## Household_2_CA_1.l14 0.0621304 0.0500411 1.242 0.21455
## Foods_1_CA_1.l14 -0.0232319 0.0345937 -0.672 0.50195
## Foods_2_CA_1.l14 0.0246373 0.0208180 1.183 0.23679
## Foods_3_CA_1.l14 0.0002503 0.0068271 0.037 0.97076
## Hobbies_CA_1.l15 0.0182383 0.0126640 1.440 0.15000
## Household_1_CA_1.l15 -0.0476182 0.0294159 -1.619 0.10567
## Household_2_CA_1.l15 -0.0048038 0.0498733 -0.096 0.92328
## Foods_1_CA_1.l15 -0.0540987 0.0345957 -1.564 0.11806
## Foods_2_CA_1.l15 0.0252786 0.0207591 1.218 0.22350
## Foods_3_CA_1.l15 -0.0028390 0.0068030 -0.417 0.67650
## Hobbies_CA_1.l16 -0.0020711 0.0126826 -0.163 0.87030
## Household_1_CA_1.l16 -0.0182508 0.0294579 -0.620 0.53563
## Household_2_CA_1.l16 0.0520534 0.0497752 1.046 0.29581
## Foods_1_CA_1.l16 0.0185793 0.0345993 0.537 0.59135
## Foods_2_CA_1.l16 -0.0089232 0.0207708 -0.430 0.66754
## Foods_3_CA_1.l16 0.0080588 0.0067956 1.186 0.23582
## Hobbies_CA_1.l17 -0.0096979 0.0126627 -0.766 0.44386
## Household_1_CA_1.l17 0.0483242 0.0294745 1.640 0.10128
## Household_2_CA_1.l17 0.0002325 0.0497689 0.005 0.99627
## Foods_1_CA_1.l17 -0.0269515 0.0346282 -0.778 0.43649
## Foods_2_CA_1.l17 0.0133484 0.0207778 0.642 0.52067
## Foods_3_CA_1.l17 -0.0061448 0.0067968 -0.904 0.36608
## Hobbies_CA_1.l18 0.0134649 0.0126484 1.065 0.28722
## Household_1_CA_1.l18 0.0417295 0.0295486 1.412 0.15806
## Household_2_CA_1.l18 -0.0619404 0.0497119 -1.246 0.21293
## Foods_1_CA_1.l18 0.0127071 0.0346381 0.367 0.71377
## Foods_2_CA_1.l18 -0.0342997 0.0207804 -1.651 0.09900 .
## Foods_3_CA_1.l18 0.0104899 0.0067945 1.544 0.12279
## Hobbies_CA_1.l19 0.0077810 0.0126635 0.614 0.53900
## Household_1_CA_1.l19 -0.0046579 0.0295427 -0.158 0.87474
## Household_2_CA_1.l19 0.0206351 0.0497994 0.414 0.67866
## Foods_1_CA_1.l19 0.0025035 0.0345961 0.072 0.94232
## Foods_2_CA_1.l19 -0.0078754 0.0207954 -0.379 0.70495
## Foods_3_CA_1.l19 -0.0056493 0.0068103 -0.830 0.40692
## Hobbies_CA_1.l20 0.0176300 0.0126748 1.391 0.16442
## Household_1_CA_1.l20 0.0213399 0.0295808 0.721 0.47075
## Household_2_CA_1.l20 0.0012057 0.0497795 0.024 0.98068
## Foods_1_CA_1.l20 -0.0789096 0.0345134 -2.286 0.02235 *
## Foods_2_CA_1.l20 0.0019691 0.0208106 0.095 0.92463
## Foods_3_CA_1.l20 0.0031624 0.0068115 0.464 0.64251
## Hobbies_CA_1.l21 -0.0198111 0.0126497 -1.566 0.11750
## Household_1_CA_1.l21 0.1603630 0.0295706 5.423 6.66e-08 ***
## Household_2_CA_1.l21 0.0371929 0.0498851 0.746 0.45603
## Foods_1_CA_1.l21 -0.0095896 0.0345272 -0.278 0.78124
## Foods_2_CA_1.l21 0.0361945 0.0208192 1.739 0.08229 .
## Foods_3_CA_1.l21 -0.0052431 0.0068009 -0.771 0.44084
## Hobbies_CA_1.l22 -0.0098132 0.0126133 -0.778 0.43667
## Household_1_CA_1.l22 -0.0103786 0.0298078 -0.348 0.72774
## Household_2_CA_1.l22 0.0296204 0.0496394 0.597 0.55078
## Foods_1_CA_1.l22 0.0267503 0.0345455 0.774 0.43883
## Foods_2_CA_1.l22 -0.0071716 0.0207581 -0.345 0.72977
## Foods_3_CA_1.l22 -0.0016275 0.0067636 -0.241 0.80987
## Hobbies_CA_1.l23 -0.0019072 0.0126012 -0.151 0.87972
## Household_1_CA_1.l23 -0.0214805 0.0297660 -0.722 0.47061
## Household_2_CA_1.l23 -0.0426432 0.0494141 -0.863 0.38827
## Foods_1_CA_1.l23 -0.0430805 0.0346020 -1.245 0.21329
## Foods_2_CA_1.l23 -0.0182902 0.0207186 -0.883 0.37747
## Foods_3_CA_1.l23 0.0123958 0.0067436 1.838 0.06621 .
## Hobbies_CA_1.l24 0.0077264 0.0126036 0.613 0.53993
## Household_1_CA_1.l24 -0.0382310 0.0295737 -1.293 0.19627
## Household_2_CA_1.l24 -0.0501770 0.0493651 -1.016 0.30956
## Foods_1_CA_1.l24 0.0341598 0.0346850 0.985 0.32483
## Foods_2_CA_1.l24 0.0002083 0.0206886 0.010 0.99197
## Foods_3_CA_1.l24 -0.0053750 0.0067496 -0.796 0.42594
## Hobbies_CA_1.l25 0.0174959 0.0126160 1.387 0.16568
## Household_1_CA_1.l25 -0.0403554 0.0295585 -1.365 0.17234
## Household_2_CA_1.l25 0.0912274 0.0492106 1.854 0.06393 .
## Foods_1_CA_1.l25 -0.0200352 0.0346533 -0.578 0.56323
## Foods_2_CA_1.l25 -0.0279093 0.0206602 -1.351 0.17691
## Foods_3_CA_1.l25 0.0061083 0.0067577 0.904 0.36617
## Hobbies_CA_1.l26 -0.0225699 0.0126150 -1.789 0.07376 .
## Household_1_CA_1.l26 -0.0105788 0.0296122 -0.357 0.72095
## Household_2_CA_1.l26 -0.0657921 0.0491365 -1.339 0.18075
## Foods_1_CA_1.l26 0.0604370 0.0344061 1.757 0.07916 .
## Foods_2_CA_1.l26 0.0063707 0.0206585 0.308 0.75783
## Foods_3_CA_1.l26 0.0013612 0.0067568 0.201 0.84036
## Hobbies_CA_1.l27 0.0245526 0.0125336 1.959 0.05028 .
## Household_1_CA_1.l27 0.0201284 0.0294939 0.682 0.49504
## Household_2_CA_1.l27 -0.0309853 0.0489960 -0.632 0.52720
## Foods_1_CA_1.l27 0.0933948 0.0341869 2.732 0.00636 **
## Foods_2_CA_1.l27 -0.0231372 0.0204763 -1.130 0.25865
## Foods_3_CA_1.l27 -0.0069936 0.0067034 -1.043 0.29695
## Hobbies_CA_1.l28 -0.0321120 0.0123118 -2.608 0.00918 **
## Household_1_CA_1.l28 0.1256535 0.0286113 4.392 1.19e-05 ***
## Household_2_CA_1.l28 0.0252750 0.0484373 0.522 0.60187
## Foods_1_CA_1.l28 0.0551518 0.0326040 1.692 0.09090 .
## Foods_2_CA_1.l28 0.0032615 0.0192609 0.169 0.86555
## Foods_3_CA_1.l28 0.0129788 0.0063225 2.053 0.04024 *
## const -0.5864742 10.3547168 -0.057 0.95484
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 29.66 on 1772 degrees of freedom
## Multiple R-Squared: 0.841, Adjusted R-squared: 0.826
## F-statistic: 55.8 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_1:
## =================================================
## Household_2_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0082211 0.0069796 1.178 0.239003
## Household_1_CA_1.l1 0.0014233 0.0160556 0.089 0.929374
## Household_2_CA_1.l1 0.1645607 0.0273761 6.011 2.23e-09 ***
## Foods_1_CA_1.l1 0.0382772 0.0181000 2.115 0.034589 *
## Foods_2_CA_1.l1 -0.0115981 0.0106253 -1.092 0.275179
## Foods_3_CA_1.l1 -0.0039283 0.0035212 -1.116 0.264743
## Hobbies_CA_1.l2 0.0053906 0.0070662 0.763 0.445638
## Household_1_CA_1.l2 -0.0133897 0.0163096 -0.821 0.411775
## Household_2_CA_1.l2 0.0258441 0.0276235 0.936 0.349615
## Foods_1_CA_1.l2 -0.0069389 0.0189828 -0.366 0.714756
## Foods_2_CA_1.l2 0.0031332 0.0113493 0.276 0.782526
## Foods_3_CA_1.l2 -0.0045163 0.0037177 -1.215 0.224607
## Hobbies_CA_1.l3 0.0077873 0.0070899 1.098 0.272194
## Household_1_CA_1.l3 0.0004216 0.0163345 0.026 0.979412
## Household_2_CA_1.l3 0.0515640 0.0277273 1.860 0.063096 .
## Foods_1_CA_1.l3 0.0058440 0.0190827 0.306 0.759454
## Foods_2_CA_1.l3 0.0018813 0.0114368 0.164 0.869362
## Foods_3_CA_1.l3 -0.0058325 0.0037570 -1.552 0.120736
## Hobbies_CA_1.l4 0.0006111 0.0070870 0.086 0.931296
## Household_1_CA_1.l4 -0.0409572 0.0163134 -2.511 0.012139 *
## Household_2_CA_1.l4 0.0587923 0.0276855 2.124 0.033844 *
## Foods_1_CA_1.l4 -0.0134468 0.0191507 -0.702 0.482675
## Foods_2_CA_1.l4 0.0111571 0.0114394 0.975 0.329533
## Foods_3_CA_1.l4 0.0008692 0.0037532 0.232 0.816889
## Hobbies_CA_1.l5 0.0024779 0.0070709 0.350 0.726048
## Household_1_CA_1.l5 0.0296716 0.0163124 1.819 0.069086 .
## Household_2_CA_1.l5 0.0117679 0.0278141 0.423 0.672281
## Foods_1_CA_1.l5 0.0212938 0.0191977 1.109 0.267502
## Foods_2_CA_1.l5 0.0130663 0.0114775 1.138 0.255097
## Foods_3_CA_1.l5 -0.0124409 0.0037573 -3.311 0.000948 ***
## Hobbies_CA_1.l6 -0.0044855 0.0070722 -0.634 0.526001
## Household_1_CA_1.l6 -0.0309351 0.0163305 -1.894 0.058345 .
## Household_2_CA_1.l6 0.1235168 0.0278344 4.438 9.66e-06 ***
## Foods_1_CA_1.l6 0.0161845 0.0191829 0.844 0.398952
## Foods_2_CA_1.l6 -0.0140814 0.0115088 -1.224 0.221291
## Foods_3_CA_1.l6 0.0075092 0.0037738 1.990 0.046765 *
## Hobbies_CA_1.l7 0.0117068 0.0070809 1.653 0.098447 .
## Household_1_CA_1.l7 0.0111214 0.0164080 0.678 0.497986
## Household_2_CA_1.l7 0.1094707 0.0279754 3.913 9.46e-05 ***
## Foods_1_CA_1.l7 -0.0524664 0.0191636 -2.738 0.006247 **
## Foods_2_CA_1.l7 -0.0012901 0.0115069 -0.112 0.910748
## Foods_3_CA_1.l7 0.0054792 0.0037880 1.446 0.148220
## Hobbies_CA_1.l8 -0.0016266 0.0070824 -0.230 0.818374
## Household_1_CA_1.l8 -0.0246879 0.0163088 -1.514 0.130260
## Household_2_CA_1.l8 0.0383867 0.0281028 1.366 0.172131
## Foods_1_CA_1.l8 0.0258843 0.0191708 1.350 0.177125
## Foods_2_CA_1.l8 0.0055815 0.0115461 0.483 0.628866
## Foods_3_CA_1.l8 0.0018131 0.0038146 0.475 0.634624
## Hobbies_CA_1.l9 0.0033956 0.0070959 0.479 0.632337
## Household_1_CA_1.l9 0.0154686 0.0163099 0.948 0.343048
## Household_2_CA_1.l9 0.0240258 0.0280500 0.857 0.391818
## Foods_1_CA_1.l9 -0.0299668 0.0191729 -1.563 0.118237
## Foods_2_CA_1.l9 0.0115894 0.0115362 1.005 0.315221
## Foods_3_CA_1.l9 -0.0034671 0.0038029 -0.912 0.362053
## Hobbies_CA_1.l10 0.0139446 0.0070759 1.971 0.048913 *
## Household_1_CA_1.l10 0.0068541 0.0162881 0.421 0.673950
## Household_2_CA_1.l10 0.0317029 0.0280332 1.131 0.258249
## Foods_1_CA_1.l10 -0.0324125 0.0191961 -1.688 0.091492 .
## Foods_2_CA_1.l10 -0.0169440 0.0115489 -1.467 0.142514
## Foods_3_CA_1.l10 0.0048593 0.0038179 1.273 0.203266
## Hobbies_CA_1.l11 0.0011904 0.0070751 0.168 0.866404
## Household_1_CA_1.l11 0.0174857 0.0162435 1.076 0.281864
## Household_2_CA_1.l11 -0.0102985 0.0280557 -0.367 0.713608
## Foods_1_CA_1.l11 -0.0034255 0.0192235 -0.178 0.858592
## Foods_2_CA_1.l11 -0.0026459 0.0115599 -0.229 0.818983
## Foods_3_CA_1.l11 0.0028942 0.0038177 0.758 0.448480
## Hobbies_CA_1.l12 -0.0020646 0.0070781 -0.292 0.770555
## Household_1_CA_1.l12 -0.0040901 0.0162753 -0.251 0.801608
## Household_2_CA_1.l12 -0.0005838 0.0280109 -0.021 0.983374
## Foods_1_CA_1.l12 0.0382783 0.0192328 1.990 0.046715 *
## Foods_2_CA_1.l12 0.0083005 0.0115694 0.717 0.473193
## Foods_3_CA_1.l12 -0.0025799 0.0038158 -0.676 0.499061
## Hobbies_CA_1.l13 -0.0123669 0.0070637 -1.751 0.080159 .
## Household_1_CA_1.l13 0.0031436 0.0162584 0.193 0.846705
## Household_2_CA_1.l13 0.0578332 0.0279283 2.071 0.038525 *
## Foods_1_CA_1.l13 0.0296627 0.0192709 1.539 0.123922
## Foods_2_CA_1.l13 -0.0309191 0.0115897 -2.668 0.007705 **
## Foods_3_CA_1.l13 0.0052349 0.0038217 1.370 0.170928
## Hobbies_CA_1.l14 -0.0031564 0.0070534 -0.448 0.654562
## Household_1_CA_1.l14 0.0686461 0.0163034 4.211 2.68e-05 ***
## Household_2_CA_1.l14 0.0491711 0.0279038 1.762 0.078214 .
## Foods_1_CA_1.l14 -0.0013674 0.0192901 -0.071 0.943495
## Foods_2_CA_1.l14 0.0258577 0.0116085 2.227 0.026040 *
## Foods_3_CA_1.l14 -0.0035023 0.0038069 -0.920 0.357706
## Hobbies_CA_1.l15 0.0072458 0.0070617 1.026 0.304996
## Household_1_CA_1.l15 -0.0545690 0.0164029 -3.327 0.000896 ***
## Household_2_CA_1.l15 0.0031254 0.0278103 0.112 0.910532
## Foods_1_CA_1.l15 -0.0134959 0.0192912 -0.700 0.484276
## Foods_2_CA_1.l15 0.0236708 0.0115757 2.045 0.041015 *
## Foods_3_CA_1.l15 -0.0014014 0.0037935 -0.369 0.711863
## Hobbies_CA_1.l16 -0.0048483 0.0070721 -0.686 0.493084
## Household_1_CA_1.l16 -0.0053081 0.0164263 -0.323 0.746624
## Household_2_CA_1.l16 0.0004360 0.0277556 0.016 0.987469
## Foods_1_CA_1.l16 -0.0155337 0.0192933 -0.805 0.420850
## Foods_2_CA_1.l16 -0.0306528 0.0115822 -2.647 0.008204 **
## Foods_3_CA_1.l16 0.0073810 0.0037893 1.948 0.051593 .
## Hobbies_CA_1.l17 -0.0053570 0.0070610 -0.759 0.448147
## Household_1_CA_1.l17 0.0387600 0.0164355 2.358 0.018467 *
## Household_2_CA_1.l17 0.0231876 0.0277521 0.836 0.403535
## Foods_1_CA_1.l17 -0.0286401 0.0193093 -1.483 0.138193
## Foods_2_CA_1.l17 0.0161956 0.0115861 1.398 0.162334
## Foods_3_CA_1.l17 -0.0072864 0.0037900 -1.923 0.054701 .
## Hobbies_CA_1.l18 -0.0009082 0.0070530 -0.129 0.897557
## Household_1_CA_1.l18 0.0122747 0.0164769 0.745 0.456392
## Household_2_CA_1.l18 0.0189683 0.0277203 0.684 0.493892
## Foods_1_CA_1.l18 0.0026933 0.0193148 0.139 0.889117
## Foods_2_CA_1.l18 -0.0054441 0.0115875 -0.470 0.638542
## Foods_3_CA_1.l18 0.0023476 0.0037887 0.620 0.535591
## Hobbies_CA_1.l19 0.0019455 0.0070614 0.276 0.782954
## Household_1_CA_1.l19 0.0158490 0.0164736 0.962 0.336138
## Household_2_CA_1.l19 0.0171111 0.0277691 0.616 0.537847
## Foods_1_CA_1.l19 -0.0061406 0.0192914 -0.318 0.750291
## Foods_2_CA_1.l19 0.0048287 0.0115959 0.416 0.677155
## Foods_3_CA_1.l19 -0.0082913 0.0037975 -2.183 0.029143 *
## Hobbies_CA_1.l20 0.0029849 0.0070677 0.422 0.672841
## Household_1_CA_1.l20 0.0184444 0.0164948 1.118 0.263635
## Household_2_CA_1.l20 0.0470140 0.0277580 1.694 0.090496 .
## Foods_1_CA_1.l20 -0.0230601 0.0192454 -1.198 0.230993
## Foods_2_CA_1.l20 -0.0043161 0.0116044 -0.372 0.709984
## Foods_3_CA_1.l20 -0.0016056 0.0037982 -0.423 0.672550
## Hobbies_CA_1.l21 -0.0112417 0.0070537 -1.594 0.111175
## Household_1_CA_1.l21 0.0059605 0.0164891 0.361 0.717782
## Household_2_CA_1.l21 0.0762934 0.0278169 2.743 0.006155 **
## Foods_1_CA_1.l21 0.0065434 0.0192530 0.340 0.734001
## Foods_2_CA_1.l21 -0.0082086 0.0116092 -0.707 0.479612
## Foods_3_CA_1.l21 0.0034639 0.0037923 0.913 0.361152
## Hobbies_CA_1.l22 -0.0048464 0.0070334 -0.689 0.490874
## Household_1_CA_1.l22 -0.0219818 0.0166214 -1.322 0.186174
## Household_2_CA_1.l22 0.0158033 0.0276799 0.571 0.568119
## Foods_1_CA_1.l22 0.0168537 0.0192632 0.875 0.381738
## Foods_2_CA_1.l22 0.0125503 0.0115751 1.084 0.278404
## Foods_3_CA_1.l22 -0.0011336 0.0037715 -0.301 0.763785
## Hobbies_CA_1.l23 -0.0111062 0.0070267 -1.581 0.114154
## Household_1_CA_1.l23 -0.0094090 0.0165981 -0.567 0.570872
## Household_2_CA_1.l23 0.0014728 0.0275542 0.053 0.957378
## Foods_1_CA_1.l23 0.0081347 0.0192947 0.422 0.673368
## Foods_2_CA_1.l23 0.0025100 0.0115531 0.217 0.828032
## Foods_3_CA_1.l23 -0.0008740 0.0037604 -0.232 0.816226
## Hobbies_CA_1.l24 -0.0062168 0.0070280 -0.885 0.376502
## Household_1_CA_1.l24 -0.0294581 0.0164909 -1.786 0.074217 .
## Household_2_CA_1.l24 -0.0206051 0.0275269 -0.749 0.454231
## Foods_1_CA_1.l24 0.0214148 0.0193410 1.107 0.268347
## Foods_2_CA_1.l24 -0.0173614 0.0115363 -1.505 0.132519
## Foods_3_CA_1.l24 0.0083345 0.0037637 2.214 0.026924 *
## Hobbies_CA_1.l25 0.0036206 0.0070349 0.515 0.606854
## Household_1_CA_1.l25 -0.0437706 0.0164824 -2.656 0.007988 **
## Household_2_CA_1.l25 -0.0014639 0.0274408 -0.053 0.957460
## Foods_1_CA_1.l25 -0.0115736 0.0193233 -0.599 0.549287
## Foods_2_CA_1.l25 -0.0140031 0.0115205 -1.215 0.224340
## Foods_3_CA_1.l25 0.0023554 0.0037682 0.625 0.531996
## Hobbies_CA_1.l26 -0.0019313 0.0070343 -0.275 0.783689
## Household_1_CA_1.l26 0.0027597 0.0165123 0.167 0.867285
## Household_2_CA_1.l26 0.0074658 0.0273994 0.272 0.785286
## Foods_1_CA_1.l26 -0.0029161 0.0191855 -0.152 0.879207
## Foods_2_CA_1.l26 0.0099128 0.0115196 0.861 0.389619
## Foods_3_CA_1.l26 -0.0011268 0.0037677 -0.299 0.764918
## Hobbies_CA_1.l27 0.0123684 0.0069890 1.770 0.076948 .
## Household_1_CA_1.l27 0.0165116 0.0164463 1.004 0.315532
## Household_2_CA_1.l27 -0.0334090 0.0273211 -1.223 0.221558
## Foods_1_CA_1.l27 -0.0059477 0.0190633 -0.312 0.755077
## Foods_2_CA_1.l27 -0.0087574 0.0114180 -0.767 0.443195
## Foods_3_CA_1.l27 0.0030939 0.0037379 0.828 0.407955
## Hobbies_CA_1.l28 0.0019754 0.0068653 0.288 0.773580
## Household_1_CA_1.l28 0.0134019 0.0159542 0.840 0.401008
## Household_2_CA_1.l28 0.0283285 0.0270096 1.049 0.294398
## Foods_1_CA_1.l28 0.0464430 0.0181806 2.555 0.010716 *
## Foods_2_CA_1.l28 0.0009426 0.0107403 0.088 0.930077
## Foods_3_CA_1.l28 0.0061911 0.0035256 1.756 0.079249 .
## const -1.8572724 5.7739860 -0.322 0.747747
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 16.54 on 1772 degrees of freedom
## Multiple R-Squared: 0.7587, Adjusted R-squared: 0.7358
## F-statistic: 33.16 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_1:
## =============================================
## Foods_1_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0213316 0.0104386 2.044 0.041147 *
## Household_1_CA_1.l1 0.0503427 0.0240124 2.097 0.036177 *
## Household_2_CA_1.l1 0.0285376 0.0409432 0.697 0.485891
## Foods_1_CA_1.l1 0.3475585 0.0270700 12.839 < 2e-16 ***
## Foods_2_CA_1.l1 -0.0155168 0.0158910 -0.976 0.328975
## Foods_3_CA_1.l1 -0.0093819 0.0052662 -1.782 0.075000 .
## Hobbies_CA_1.l2 -0.0093501 0.0105681 -0.885 0.376410
## Household_1_CA_1.l2 -0.0146887 0.0243924 -0.602 0.547130
## Household_2_CA_1.l2 -0.0585134 0.0413133 -1.416 0.156854
## Foods_1_CA_1.l2 0.1000465 0.0283904 3.524 0.000436 ***
## Foods_2_CA_1.l2 -0.0156750 0.0169739 -0.923 0.355886
## Foods_3_CA_1.l2 -0.0047788 0.0055602 -0.859 0.390199
## Hobbies_CA_1.l3 -0.0060770 0.0106036 -0.573 0.566645
## Household_1_CA_1.l3 -0.0109247 0.0244296 -0.447 0.654791
## Household_2_CA_1.l3 0.0056153 0.0414685 0.135 0.892302
## Foods_1_CA_1.l3 0.1000067 0.0285398 3.504 0.000470 ***
## Foods_2_CA_1.l3 0.0010005 0.0171047 0.058 0.953363
## Foods_3_CA_1.l3 0.0021437 0.0056189 0.382 0.702862
## Hobbies_CA_1.l4 0.0008281 0.0105992 0.078 0.937733
## Household_1_CA_1.l4 -0.0323543 0.0243981 -1.326 0.184977
## Household_2_CA_1.l4 -0.0675498 0.0414059 -1.631 0.102983
## Foods_1_CA_1.l4 0.0536315 0.0286415 1.873 0.061300 .
## Foods_2_CA_1.l4 -0.0243176 0.0171086 -1.421 0.155386
## Foods_3_CA_1.l4 0.0051441 0.0056133 0.916 0.359577
## Hobbies_CA_1.l5 0.0079600 0.0105751 0.753 0.451726
## Household_1_CA_1.l5 0.0088748 0.0243965 0.364 0.716071
## Household_2_CA_1.l5 -0.0204273 0.0415983 -0.491 0.623445
## Foods_1_CA_1.l5 0.0358095 0.0287118 1.247 0.212487
## Foods_2_CA_1.l5 0.0379395 0.0171656 2.210 0.027219 *
## Foods_3_CA_1.l5 -0.0110188 0.0056194 -1.961 0.050053 .
## Hobbies_CA_1.l6 -0.0235121 0.0105771 -2.223 0.026346 *
## Household_1_CA_1.l6 0.0070339 0.0244236 0.288 0.773385
## Household_2_CA_1.l6 0.0422468 0.0416287 1.015 0.310317
## Foods_1_CA_1.l6 0.0356889 0.0286896 1.244 0.213676
## Foods_2_CA_1.l6 -0.0083856 0.0172124 -0.487 0.626191
## Foods_3_CA_1.l6 0.0057919 0.0056440 1.026 0.304936
## Hobbies_CA_1.l7 0.0044777 0.0105900 0.423 0.672476
## Household_1_CA_1.l7 0.0427475 0.0245396 1.742 0.081685 .
## Household_2_CA_1.l7 0.0300831 0.0418395 0.719 0.472229
## Foods_1_CA_1.l7 -0.0148369 0.0286608 -0.518 0.604753
## Foods_2_CA_1.l7 0.0030052 0.0172095 0.175 0.861396
## Foods_3_CA_1.l7 0.0026053 0.0056652 0.460 0.645656
## Hobbies_CA_1.l8 -0.0143994 0.0105923 -1.359 0.174185
## Household_1_CA_1.l8 -0.0229293 0.0243912 -0.940 0.347313
## Household_2_CA_1.l8 0.0025422 0.0420301 0.060 0.951775
## Foods_1_CA_1.l8 0.0493545 0.0286715 1.721 0.085357 .
## Foods_2_CA_1.l8 0.0015356 0.0172681 0.089 0.929149
## Foods_3_CA_1.l8 0.0060240 0.0057051 1.056 0.291161
## Hobbies_CA_1.l9 0.0091318 0.0106125 0.860 0.389642
## Household_1_CA_1.l9 0.0279633 0.0243928 1.146 0.251795
## Household_2_CA_1.l9 -0.0388630 0.0419511 -0.926 0.354371
## Foods_1_CA_1.l9 -0.0509346 0.0286747 -1.776 0.075856 .
## Foods_2_CA_1.l9 0.0555580 0.0172534 3.220 0.001305 **
## Foods_3_CA_1.l9 -0.0194207 0.0056875 -3.415 0.000653 ***
## Hobbies_CA_1.l10 0.0110949 0.0105826 1.048 0.294592
## Household_1_CA_1.l10 -0.0183908 0.0243602 -0.755 0.450379
## Household_2_CA_1.l10 0.0151248 0.0419260 0.361 0.718329
## Foods_1_CA_1.l10 -0.0486630 0.0287093 -1.695 0.090247 .
## Foods_2_CA_1.l10 -0.0083888 0.0172724 -0.486 0.627258
## Foods_3_CA_1.l10 0.0057543 0.0057100 1.008 0.313708
## Hobbies_CA_1.l11 -0.0020912 0.0105815 -0.198 0.843357
## Household_1_CA_1.l11 0.0018902 0.0242936 0.078 0.937992
## Household_2_CA_1.l11 0.0144663 0.0419596 0.345 0.730311
## Foods_1_CA_1.l11 -0.0485347 0.0287504 -1.688 0.091560 .
## Foods_2_CA_1.l11 0.0255676 0.0172888 1.479 0.139358
## Foods_3_CA_1.l11 -0.0080839 0.0057096 -1.416 0.157000
## Hobbies_CA_1.l12 -0.0049527 0.0105859 -0.468 0.639942
## Household_1_CA_1.l12 -0.0151134 0.0243411 -0.621 0.534744
## Household_2_CA_1.l12 -0.0202356 0.0418926 -0.483 0.629131
## Foods_1_CA_1.l12 0.0434341 0.0287642 1.510 0.131220
## Foods_2_CA_1.l12 -0.0015495 0.0173030 -0.090 0.928653
## Foods_3_CA_1.l12 -0.0013461 0.0057068 -0.236 0.813552
## Hobbies_CA_1.l13 -0.0085536 0.0105644 -0.810 0.418243
## Household_1_CA_1.l13 0.0012613 0.0243158 0.052 0.958638
## Household_2_CA_1.l13 0.0053166 0.0417692 0.127 0.898729
## Foods_1_CA_1.l13 0.0464379 0.0288212 1.611 0.107306
## Foods_2_CA_1.l13 -0.0172219 0.0173334 -0.994 0.320570
## Foods_3_CA_1.l13 0.0010600 0.0057157 0.185 0.852894
## Hobbies_CA_1.l14 -0.0027064 0.0105489 -0.257 0.797546
## Household_1_CA_1.l14 0.0707751 0.0243832 2.903 0.003746 **
## Household_2_CA_1.l14 -0.0035866 0.0417325 -0.086 0.931522
## Foods_1_CA_1.l14 0.0378413 0.0288499 1.312 0.189805
## Foods_2_CA_1.l14 -0.0024152 0.0173615 -0.139 0.889377
## Foods_3_CA_1.l14 0.0011767 0.0056936 0.207 0.836284
## Hobbies_CA_1.l15 0.0014960 0.0105614 0.142 0.887370
## Household_1_CA_1.l15 -0.0172362 0.0245319 -0.703 0.482396
## Household_2_CA_1.l15 0.0005112 0.0415926 0.012 0.990195
## Foods_1_CA_1.l15 -0.0238991 0.0288517 -0.828 0.407587
## Foods_2_CA_1.l15 -0.0064317 0.0173124 -0.372 0.710303
## Foods_3_CA_1.l15 0.0007466 0.0056735 0.132 0.895325
## Hobbies_CA_1.l16 0.0127712 0.0105768 1.207 0.227413
## Household_1_CA_1.l16 -0.0436429 0.0245669 -1.776 0.075823 .
## Household_2_CA_1.l16 0.0537229 0.0415108 1.294 0.195768
## Foods_1_CA_1.l16 -0.0370611 0.0288547 -1.284 0.199167
## Foods_2_CA_1.l16 0.0111971 0.0173222 0.646 0.518100
## Foods_3_CA_1.l16 0.0012093 0.0056673 0.213 0.831049
## Hobbies_CA_1.l17 -0.0087110 0.0105602 -0.825 0.409545
## Household_1_CA_1.l17 0.0608005 0.0245807 2.474 0.013473 *
## Household_2_CA_1.l17 -0.0056438 0.0415056 -0.136 0.891856
## Foods_1_CA_1.l17 -0.0457871 0.0288787 -1.585 0.113032
## Foods_2_CA_1.l17 0.0048499 0.0173280 0.280 0.779596
## Foods_3_CA_1.l17 -0.0061222 0.0056683 -1.080 0.280255
## Hobbies_CA_1.l18 0.0006435 0.0105483 0.061 0.951360
## Household_1_CA_1.l18 -0.0036384 0.0246425 -0.148 0.882639
## Household_2_CA_1.l18 0.0443283 0.0414580 1.069 0.285111
## Foods_1_CA_1.l18 0.0060259 0.0288869 0.209 0.834782
## Foods_2_CA_1.l18 -0.0058200 0.0173301 -0.336 0.737038
## Foods_3_CA_1.l18 -0.0003387 0.0056664 -0.060 0.952337
## Hobbies_CA_1.l19 -0.0042537 0.0105609 -0.403 0.687163
## Household_1_CA_1.l19 0.0124291 0.0246376 0.504 0.613989
## Household_2_CA_1.l19 0.0161575 0.0415310 0.389 0.697288
## Foods_1_CA_1.l19 0.0226181 0.0288519 0.784 0.433182
## Foods_2_CA_1.l19 0.0036258 0.0173427 0.209 0.834420
## Foods_3_CA_1.l19 -0.0019116 0.0056795 -0.337 0.736475
## Hobbies_CA_1.l20 -0.0011135 0.0105704 -0.105 0.916117
## Household_1_CA_1.l20 0.0131939 0.0246694 0.535 0.592836
## Household_2_CA_1.l20 -0.0165868 0.0415144 -0.400 0.689541
## Foods_1_CA_1.l20 -0.0640948 0.0287830 -2.227 0.026084 *
## Foods_2_CA_1.l20 0.0021257 0.0173553 0.122 0.902531
## Foods_3_CA_1.l20 -0.0032121 0.0056806 -0.565 0.571832
## Hobbies_CA_1.l21 -0.0040268 0.0105494 -0.382 0.702722
## Household_1_CA_1.l21 0.0487290 0.0246608 1.976 0.048313 *
## Household_2_CA_1.l21 0.0514825 0.0416024 1.237 0.216070
## Foods_1_CA_1.l21 0.0152425 0.0287945 0.529 0.596626
## Foods_2_CA_1.l21 -0.0080629 0.0173625 -0.464 0.642427
## Foods_3_CA_1.l21 0.0006802 0.0056717 0.120 0.904547
## Hobbies_CA_1.l22 0.0154703 0.0105190 1.471 0.141550
## Household_1_CA_1.l22 -0.0156258 0.0248587 -0.629 0.529702
## Household_2_CA_1.l22 0.0595562 0.0413976 1.439 0.150429
## Foods_1_CA_1.l22 0.0141021 0.0288098 0.489 0.624556
## Foods_2_CA_1.l22 -0.0042550 0.0173116 -0.246 0.805875
## Foods_3_CA_1.l22 -0.0078579 0.0056406 -1.393 0.163765
## Hobbies_CA_1.l23 -0.0201036 0.0105090 -1.913 0.055909 .
## Household_1_CA_1.l23 -0.0048486 0.0248239 -0.195 0.845164
## Household_2_CA_1.l23 0.0300855 0.0412097 0.730 0.465450
## Foods_1_CA_1.l23 0.0074480 0.0288568 0.258 0.796359
## Foods_2_CA_1.l23 -0.0177428 0.0172786 -1.027 0.304623
## Foods_3_CA_1.l23 0.0122417 0.0056239 2.177 0.029633 *
## Hobbies_CA_1.l24 -0.0095389 0.0105109 -0.908 0.364254
## Household_1_CA_1.l24 -0.0245275 0.0246635 -0.994 0.320122
## Household_2_CA_1.l24 -0.0130827 0.0411688 -0.318 0.750688
## Foods_1_CA_1.l24 0.0097422 0.0289261 0.337 0.736310
## Foods_2_CA_1.l24 -0.0040660 0.0172536 -0.236 0.813721
## Foods_3_CA_1.l24 0.0023036 0.0056289 0.409 0.682413
## Hobbies_CA_1.l25 0.0194660 0.0105213 1.850 0.064458 .
## Household_1_CA_1.l25 -0.0265972 0.0246508 -1.079 0.280752
## Household_2_CA_1.l25 -0.0170559 0.0410400 -0.416 0.677758
## Foods_1_CA_1.l25 0.0138995 0.0288997 0.481 0.630607
## Foods_2_CA_1.l25 -0.0035309 0.0172299 -0.205 0.837653
## Foods_3_CA_1.l25 0.0018470 0.0056357 0.328 0.743156
## Hobbies_CA_1.l26 -0.0035732 0.0105205 -0.340 0.734162
## Household_1_CA_1.l26 -0.0126343 0.0246956 -0.512 0.608992
## Household_2_CA_1.l26 0.0190312 0.0409782 0.464 0.642401
## Foods_1_CA_1.l26 0.0370213 0.0286935 1.290 0.197138
## Foods_2_CA_1.l26 -0.0044257 0.0172285 -0.257 0.797298
## Foods_3_CA_1.l26 0.0008277 0.0056349 0.147 0.883235
## Hobbies_CA_1.l27 0.0025268 0.0104526 0.242 0.809010
## Household_1_CA_1.l27 -0.0188671 0.0245969 -0.767 0.443153
## Household_2_CA_1.l27 -0.0325672 0.0408610 -0.797 0.425544
## Foods_1_CA_1.l27 0.0815252 0.0285107 2.859 0.004293 **
## Foods_2_CA_1.l27 0.0036106 0.0170766 0.211 0.832573
## Foods_3_CA_1.l27 0.0004589 0.0055904 0.082 0.934587
## Hobbies_CA_1.l28 -0.0096550 0.0102677 -0.940 0.347176
## Household_1_CA_1.l28 -0.0309628 0.0238608 -1.298 0.194580
## Household_2_CA_1.l28 0.0098118 0.0403951 0.243 0.808115
## Foods_1_CA_1.l28 0.0971543 0.0271907 3.573 0.000362 ***
## Foods_2_CA_1.l28 -0.0033205 0.0160630 -0.207 0.836253
## Foods_3_CA_1.l28 0.0135305 0.0052728 2.566 0.010366 *
## const 29.5575252 8.6354775 3.423 0.000634 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 24.73 on 1772 degrees of freedom
## Multiple R-Squared: 0.6464, Adjusted R-squared: 0.6129
## F-statistic: 19.28 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_1:
## =============================================
## Foods_2_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0292781 0.0230805 1.269 0.20478
## Household_1_CA_1.l1 -0.0519948 0.0530933 -0.979 0.32756
## Household_2_CA_1.l1 0.1363240 0.0905286 1.506 0.13228
## Foods_1_CA_1.l1 0.1233838 0.0598539 2.061 0.03941 *
## Foods_2_CA_1.l1 0.4247310 0.0351363 12.088 < 2e-16 ***
## Foods_3_CA_1.l1 -0.0173268 0.0116440 -1.488 0.13692
## Hobbies_CA_1.l2 -0.0050634 0.0233668 -0.217 0.82847
## Household_1_CA_1.l2 0.0290318 0.0539335 0.538 0.59044
## Household_2_CA_1.l2 -0.1699929 0.0913469 -1.861 0.06292 .
## Foods_1_CA_1.l2 0.0124341 0.0627734 0.198 0.84301
## Foods_2_CA_1.l2 0.1487869 0.0375306 3.964 7.65e-05 ***
## Foods_3_CA_1.l2 -0.0277169 0.0122940 -2.254 0.02429 *
## Hobbies_CA_1.l3 -0.0192658 0.0234454 -0.822 0.41134
## Household_1_CA_1.l3 0.0459128 0.0540158 0.850 0.39545
## Household_2_CA_1.l3 0.2489132 0.0916901 2.715 0.00670 **
## Foods_1_CA_1.l3 0.0123675 0.0631036 0.196 0.84464
## Foods_2_CA_1.l3 0.0743702 0.0378198 1.966 0.04940 *
## Foods_3_CA_1.l3 -0.0143944 0.0124238 -1.159 0.24677
## Hobbies_CA_1.l4 -0.0138424 0.0234357 -0.591 0.55483
## Household_1_CA_1.l4 -0.0330789 0.0539460 -0.613 0.53983
## Household_2_CA_1.l4 -0.0815395 0.0915518 -0.891 0.37324
## Foods_1_CA_1.l4 0.0039498 0.0633286 0.062 0.95028
## Foods_2_CA_1.l4 0.0455340 0.0378285 1.204 0.22887
## Foods_3_CA_1.l4 0.0165554 0.0124114 1.334 0.18241
## Hobbies_CA_1.l5 -0.0286025 0.0233824 -1.223 0.22140
## Household_1_CA_1.l5 -0.0390445 0.0539426 -0.724 0.46927
## Household_2_CA_1.l5 -0.0710720 0.0919771 -0.773 0.43979
## Foods_1_CA_1.l5 0.0271105 0.0634840 0.427 0.66940
## Foods_2_CA_1.l5 0.0968294 0.0379545 2.551 0.01082 *
## Foods_3_CA_1.l5 -0.0136590 0.0124250 -1.099 0.27178
## Hobbies_CA_1.l6 -0.0047236 0.0233868 -0.202 0.83996
## Household_1_CA_1.l6 0.0373959 0.0540025 0.692 0.48872
## Household_2_CA_1.l6 0.1538069 0.0920443 1.671 0.09490 .
## Foods_1_CA_1.l6 -0.0255345 0.0634348 -0.403 0.68734
## Foods_2_CA_1.l6 0.0404879 0.0380580 1.064 0.28754
## Foods_3_CA_1.l6 -0.0149796 0.0124794 -1.200 0.23017
## Hobbies_CA_1.l7 -0.0082236 0.0234154 -0.351 0.72548
## Household_1_CA_1.l7 0.0838954 0.0542590 1.546 0.12223
## Household_2_CA_1.l7 -0.0065568 0.0925105 -0.071 0.94350
## Foods_1_CA_1.l7 -0.1417501 0.0633713 -2.237 0.02542 *
## Foods_2_CA_1.l7 0.1098689 0.0380516 2.887 0.00393 **
## Foods_3_CA_1.l7 0.0305465 0.0125262 2.439 0.01484 *
## Hobbies_CA_1.l8 0.0013157 0.0234204 0.056 0.95521
## Household_1_CA_1.l8 -0.0599844 0.0539308 -1.112 0.26618
## Household_2_CA_1.l8 -0.0097919 0.0929318 -0.105 0.91610
## Foods_1_CA_1.l8 0.0211200 0.0633950 0.333 0.73906
## Foods_2_CA_1.l8 -0.0346112 0.0381812 -0.906 0.36480
## Foods_3_CA_1.l8 0.0109357 0.0126144 0.867 0.38610
## Hobbies_CA_1.l9 0.0266138 0.0234651 1.134 0.25687
## Household_1_CA_1.l9 0.0139838 0.0539345 0.259 0.79545
## Household_2_CA_1.l9 -0.0354091 0.0927571 -0.382 0.70270
## Foods_1_CA_1.l9 -0.0495291 0.0634020 -0.781 0.43479
## Foods_2_CA_1.l9 0.0346534 0.0381485 0.908 0.36380
## Foods_3_CA_1.l9 -0.0234004 0.0125756 -1.861 0.06294 .
## Hobbies_CA_1.l10 0.0244116 0.0233990 1.043 0.29696
## Household_1_CA_1.l10 0.0406265 0.0538624 0.754 0.45079
## Household_2_CA_1.l10 -0.0057230 0.0927017 -0.062 0.95078
## Foods_1_CA_1.l10 -0.0105722 0.0634785 -0.167 0.86775
## Foods_2_CA_1.l10 -0.0361911 0.0381906 -0.948 0.34344
## Foods_3_CA_1.l10 -0.0014507 0.0126252 -0.115 0.90853
## Hobbies_CA_1.l11 -0.0034830 0.0233964 -0.149 0.88167
## Household_1_CA_1.l11 -0.0960372 0.0537150 -1.788 0.07396 .
## Household_2_CA_1.l11 0.0921956 0.0927760 0.994 0.32048
## Foods_1_CA_1.l11 0.0309555 0.0635694 0.487 0.62635
## Foods_2_CA_1.l11 -0.0013537 0.0382270 -0.035 0.97176
## Foods_3_CA_1.l11 0.0044013 0.0126244 0.349 0.72741
## Hobbies_CA_1.l12 0.0029043 0.0234063 0.124 0.90127
## Household_1_CA_1.l12 -0.0346930 0.0538200 -0.645 0.51926
## Household_2_CA_1.l12 0.0318572 0.0926278 0.344 0.73094
## Foods_1_CA_1.l12 -0.0212322 0.0635999 -0.334 0.73854
## Foods_2_CA_1.l12 -0.0769723 0.0382584 -2.012 0.04438 *
## Foods_3_CA_1.l12 0.0060154 0.0126182 0.477 0.63362
## Hobbies_CA_1.l13 -0.0464710 0.0233586 -1.989 0.04680 *
## Household_1_CA_1.l13 -0.0163804 0.0537642 -0.305 0.76065
## Household_2_CA_1.l13 0.0298580 0.0923549 0.323 0.74651
## Foods_1_CA_1.l13 -0.0039143 0.0637260 -0.061 0.95103
## Foods_2_CA_1.l13 -0.0054547 0.0383255 -0.142 0.88684
## Foods_3_CA_1.l13 0.0204648 0.0126378 1.619 0.10555
## Hobbies_CA_1.l14 0.0378871 0.0233244 1.624 0.10448
## Household_1_CA_1.l14 0.0622208 0.0539130 1.154 0.24862
## Household_2_CA_1.l14 -0.0346944 0.0922739 -0.376 0.70697
## Foods_1_CA_1.l14 0.0288422 0.0637895 0.452 0.65122
## Foods_2_CA_1.l14 0.1196707 0.0383877 3.117 0.00185 **
## Foods_3_CA_1.l14 -0.0128379 0.0125889 -1.020 0.30797
## Hobbies_CA_1.l15 -0.0351541 0.0233520 -1.505 0.13240
## Household_1_CA_1.l15 -0.0576112 0.0542419 -1.062 0.28833
## Household_2_CA_1.l15 -0.0542222 0.0919645 -0.590 0.55553
## Foods_1_CA_1.l15 0.0727877 0.0637933 1.141 0.25403
## Foods_2_CA_1.l15 0.0064312 0.0382791 0.168 0.86659
## Foods_3_CA_1.l15 -0.0105547 0.0125445 -0.841 0.40025
## Hobbies_CA_1.l16 -0.0161796 0.0233862 -0.692 0.48913
## Household_1_CA_1.l16 0.0121262 0.0543193 0.223 0.82338
## Household_2_CA_1.l16 -0.0348335 0.0917836 -0.380 0.70435
## Foods_1_CA_1.l16 -0.0984840 0.0637999 -1.544 0.12285
## Foods_2_CA_1.l16 -0.0343382 0.0383006 -0.897 0.37008
## Foods_3_CA_1.l16 0.0164656 0.0125308 1.314 0.18901
## Hobbies_CA_1.l17 -0.0106522 0.0233495 -0.456 0.64830
## Household_1_CA_1.l17 0.0756088 0.0543499 1.391 0.16435
## Household_2_CA_1.l17 0.0390109 0.0917721 0.425 0.67083
## Foods_1_CA_1.l17 -0.0104505 0.0638531 -0.164 0.87001
## Foods_2_CA_1.l17 0.0186211 0.0383136 0.486 0.62701
## Foods_3_CA_1.l17 -0.0121035 0.0125330 -0.966 0.33431
## Hobbies_CA_1.l18 0.0367975 0.0233232 1.578 0.11481
## Household_1_CA_1.l18 -0.0147543 0.0544865 -0.271 0.78659
## Household_2_CA_1.l18 0.0543950 0.0916669 0.593 0.55299
## Foods_1_CA_1.l18 -0.0007943 0.0638713 -0.012 0.99008
## Foods_2_CA_1.l18 0.0050276 0.0383183 0.131 0.89563
## Foods_3_CA_1.l18 -0.0108620 0.0125288 -0.867 0.38608
## Hobbies_CA_1.l19 0.0284247 0.0233509 1.217 0.22366
## Household_1_CA_1.l19 0.1195978 0.0544756 2.195 0.02826 *
## Household_2_CA_1.l19 0.0295388 0.0918283 0.322 0.74774
## Foods_1_CA_1.l19 -0.1264572 0.0637938 -1.982 0.04760 *
## Foods_2_CA_1.l19 -0.0109755 0.0383460 -0.286 0.77474
## Foods_3_CA_1.l19 0.0028396 0.0125579 0.226 0.82114
## Hobbies_CA_1.l20 0.0179391 0.0233719 0.768 0.44286
## Household_1_CA_1.l20 0.0152476 0.0545460 0.280 0.77987
## Household_2_CA_1.l20 -0.2296813 0.0917915 -2.502 0.01243 *
## Foods_1_CA_1.l20 0.0077522 0.0636415 0.122 0.90306
## Foods_2_CA_1.l20 -0.0354839 0.0383740 -0.925 0.35526
## Foods_3_CA_1.l20 0.0183647 0.0125602 1.462 0.14388
## Hobbies_CA_1.l21 -0.0267452 0.0233256 -1.147 0.25170
## Household_1_CA_1.l21 0.0108444 0.0545270 0.199 0.84238
## Household_2_CA_1.l21 -0.0874208 0.0919862 -0.950 0.34205
## Foods_1_CA_1.l21 -0.0474353 0.0636669 -0.745 0.45634
## Foods_2_CA_1.l21 0.0284529 0.0383898 0.741 0.45870
## Foods_3_CA_1.l21 0.0310234 0.0125406 2.474 0.01346 *
## Hobbies_CA_1.l22 -0.0354296 0.0232584 -1.523 0.12786
## Household_1_CA_1.l22 -0.1510833 0.0549645 -2.749 0.00604 **
## Household_2_CA_1.l22 0.1998443 0.0915333 2.183 0.02914 *
## Foods_1_CA_1.l22 0.0797834 0.0637006 1.252 0.21056
## Foods_2_CA_1.l22 0.0719555 0.0382773 1.880 0.06029 .
## Foods_3_CA_1.l22 -0.0188012 0.0124719 -1.507 0.13186
## Hobbies_CA_1.l23 0.0070948 0.0232362 0.305 0.76015
## Household_1_CA_1.l23 0.0017872 0.0548875 0.033 0.97403
## Household_2_CA_1.l23 -0.1323095 0.0911178 -1.452 0.14666
## Foods_1_CA_1.l23 0.0220318 0.0638047 0.345 0.72991
## Foods_2_CA_1.l23 -0.0605698 0.0382043 -1.585 0.11305
## Foods_3_CA_1.l23 0.0125311 0.0124349 1.008 0.31372
## Hobbies_CA_1.l24 -0.0453157 0.0232405 -1.950 0.05135 .
## Household_1_CA_1.l24 -0.0660447 0.0545328 -1.211 0.22602
## Household_2_CA_1.l24 0.0037585 0.0910273 0.041 0.96707
## Foods_1_CA_1.l24 0.0268709 0.0639578 0.420 0.67444
## Foods_2_CA_1.l24 -0.0032300 0.0381490 -0.085 0.93254
## Foods_3_CA_1.l24 0.0035344 0.0124459 0.284 0.77646
## Hobbies_CA_1.l25 0.0310487 0.0232634 1.335 0.18216
## Household_1_CA_1.l25 -0.0340479 0.0545047 -0.625 0.53226
## Household_2_CA_1.l25 0.0296984 0.0907425 0.327 0.74349
## Foods_1_CA_1.l25 0.0031375 0.0638994 0.049 0.96084
## Foods_2_CA_1.l25 -0.0015809 0.0380966 -0.041 0.96690
## Foods_3_CA_1.l25 -0.0120570 0.0124609 -0.968 0.33338
## Hobbies_CA_1.l26 -0.0191073 0.0232615 -0.821 0.41152
## Household_1_CA_1.l26 0.0480229 0.0546038 0.879 0.37926
## Household_2_CA_1.l26 -0.1133873 0.0906059 -1.251 0.21094
## Foods_1_CA_1.l26 0.0539727 0.0634436 0.851 0.39504
## Foods_2_CA_1.l26 -0.0180117 0.0380935 -0.473 0.63639
## Foods_3_CA_1.l26 0.0044304 0.0124593 0.356 0.72219
## Hobbies_CA_1.l27 0.0381378 0.0231115 1.650 0.09909 .
## Household_1_CA_1.l27 -0.0359887 0.0543856 -0.662 0.50823
## Household_2_CA_1.l27 0.0847774 0.0903468 0.938 0.34819
## Foods_1_CA_1.l27 0.0200599 0.0630394 0.318 0.75036
## Foods_2_CA_1.l27 -0.0536532 0.0377576 -1.421 0.15550
## Foods_3_CA_1.l27 0.0129499 0.0123608 1.048 0.29494
## Hobbies_CA_1.l28 -0.0113188 0.0227026 -0.499 0.61815
## Household_1_CA_1.l28 0.0675316 0.0527582 1.280 0.20070
## Household_2_CA_1.l28 0.1586040 0.0893166 1.776 0.07595 .
## Foods_1_CA_1.l28 0.0091734 0.0601206 0.153 0.87874
## Foods_2_CA_1.l28 0.0531252 0.0355164 1.496 0.13489
## Foods_3_CA_1.l28 0.0030563 0.0116585 0.262 0.79323
## const 16.4098162 19.0937137 0.859 0.39022
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 54.69 on 1772 degrees of freedom
## Multiple R-Squared: 0.7356, Adjusted R-squared: 0.7105
## F-statistic: 29.34 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_1:
## =============================================
## Foods_3_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.080122 0.081564 0.982 0.326074
## Household_1_CA_1.l1 -0.033016 0.187626 -0.176 0.860340
## Household_2_CA_1.l1 0.875074 0.319919 2.735 0.006294 **
## Foods_1_CA_1.l1 0.476870 0.211518 2.255 0.024285 *
## Foods_2_CA_1.l1 0.218090 0.124168 1.756 0.079191 .
## Foods_3_CA_1.l1 0.260146 0.041149 6.322 3.26e-10 ***
## Hobbies_CA_1.l2 -0.051991 0.082576 -0.630 0.529032
## Household_1_CA_1.l2 0.153289 0.190595 0.804 0.421354
## Household_2_CA_1.l2 -0.843700 0.322811 -2.614 0.009035 **
## Foods_1_CA_1.l2 -0.055950 0.221835 -0.252 0.800904
## Foods_2_CA_1.l2 0.051985 0.132629 0.392 0.695140
## Foods_3_CA_1.l2 0.026334 0.043446 0.606 0.544510
## Hobbies_CA_1.l3 -0.095248 0.082854 -1.150 0.250469
## Household_1_CA_1.l3 0.029680 0.190886 0.155 0.876454
## Household_2_CA_1.l3 0.798912 0.324023 2.466 0.013773 *
## Foods_1_CA_1.l3 0.097274 0.223002 0.436 0.662744
## Foods_2_CA_1.l3 0.112844 0.133651 0.844 0.398606
## Foods_3_CA_1.l3 -0.004769 0.043904 -0.109 0.913522
## Hobbies_CA_1.l4 0.007998 0.082819 0.097 0.923077
## Household_1_CA_1.l4 -0.331237 0.190640 -1.738 0.082472 .
## Household_2_CA_1.l4 -0.496773 0.323535 -1.535 0.124851
## Foods_1_CA_1.l4 -0.111401 0.223797 -0.498 0.618704
## Foods_2_CA_1.l4 -0.147318 0.133682 -1.102 0.270610
## Foods_3_CA_1.l4 0.131696 0.043861 3.003 0.002714 **
## Hobbies_CA_1.l5 0.026697 0.082631 0.323 0.746666
## Household_1_CA_1.l5 0.038726 0.190628 0.203 0.839040
## Household_2_CA_1.l5 -0.310535 0.325038 -0.955 0.339516
## Foods_1_CA_1.l5 0.179514 0.224346 0.800 0.423723
## Foods_2_CA_1.l5 0.336178 0.134127 2.506 0.012286 *
## Foods_3_CA_1.l5 -0.088920 0.043909 -2.025 0.043005 *
## Hobbies_CA_1.l6 -0.147346 0.082647 -1.783 0.074782 .
## Household_1_CA_1.l6 -0.121294 0.190839 -0.636 0.525131
## Household_2_CA_1.l6 0.417240 0.325275 1.283 0.199755
## Foods_1_CA_1.l6 0.069805 0.224172 0.311 0.755541
## Foods_2_CA_1.l6 -0.157981 0.134493 -1.175 0.240296
## Foods_3_CA_1.l6 0.064082 0.044101 1.453 0.146380
## Hobbies_CA_1.l7 -0.036041 0.082747 -0.436 0.663217
## Household_1_CA_1.l7 0.406517 0.191746 2.120 0.034138 *
## Household_2_CA_1.l7 0.127913 0.326923 0.391 0.695649
## Foods_1_CA_1.l7 -0.562763 0.223948 -2.513 0.012062 *
## Foods_2_CA_1.l7 0.047659 0.134470 0.354 0.723068
## Foods_3_CA_1.l7 0.205923 0.044266 4.652 3.53e-06 ***
## Hobbies_CA_1.l8 0.092342 0.082765 1.116 0.264696
## Household_1_CA_1.l8 -0.149961 0.190586 -0.787 0.431480
## Household_2_CA_1.l8 -0.227158 0.328412 -0.692 0.489225
## Foods_1_CA_1.l8 0.052013 0.224031 0.232 0.816433
## Foods_2_CA_1.l8 -0.042666 0.134928 -0.316 0.751880
## Foods_3_CA_1.l8 0.023195 0.044578 0.520 0.602906
## Hobbies_CA_1.l9 0.114990 0.082923 1.387 0.165706
## Household_1_CA_1.l9 0.033450 0.190599 0.175 0.860709
## Household_2_CA_1.l9 -0.019179 0.327794 -0.059 0.953350
## Foods_1_CA_1.l9 -0.340798 0.224056 -1.521 0.128429
## Foods_2_CA_1.l9 0.222365 0.134813 1.649 0.099236 .
## Foods_3_CA_1.l9 -0.120792 0.044441 -2.718 0.006631 **
## Hobbies_CA_1.l10 0.125474 0.082690 1.517 0.129341
## Household_1_CA_1.l10 0.108154 0.190344 0.568 0.569971
## Household_2_CA_1.l10 0.174790 0.327598 0.534 0.593719
## Foods_1_CA_1.l10 -0.195027 0.224327 -0.869 0.384752
## Foods_2_CA_1.l10 -0.231431 0.134962 -1.715 0.086558 .
## Foods_3_CA_1.l10 0.027868 0.044616 0.625 0.532306
## Hobbies_CA_1.l11 -0.029762 0.082681 -0.360 0.718919
## Household_1_CA_1.l11 -0.236987 0.189823 -1.248 0.212027
## Household_2_CA_1.l11 0.052034 0.327861 0.159 0.873916
## Foods_1_CA_1.l11 0.152804 0.224648 0.680 0.496470
## Foods_2_CA_1.l11 0.077574 0.135090 0.574 0.565879
## Foods_3_CA_1.l11 -0.045745 0.044613 -1.025 0.305334
## Hobbies_CA_1.l12 -0.060164 0.082715 -0.727 0.467104
## Household_1_CA_1.l12 -0.281218 0.190194 -1.479 0.139430
## Household_2_CA_1.l12 -0.053019 0.327337 -0.162 0.871346
## Foods_1_CA_1.l12 0.067744 0.224756 0.301 0.763135
## Foods_2_CA_1.l12 -0.125088 0.135201 -0.925 0.354988
## Foods_3_CA_1.l12 0.066936 0.044591 1.501 0.133510
## Hobbies_CA_1.l13 -0.106308 0.082547 -1.288 0.197967
## Household_1_CA_1.l13 0.200777 0.189997 1.057 0.290777
## Household_2_CA_1.l13 -0.046668 0.326373 -0.143 0.886314
## Foods_1_CA_1.l13 -0.022830 0.225201 -0.101 0.919263
## Foods_2_CA_1.l13 -0.275601 0.135438 -2.035 0.042011 *
## Foods_3_CA_1.l13 0.101557 0.044661 2.274 0.023086 *
## Hobbies_CA_1.l14 0.016194 0.082426 0.196 0.844268
## Household_1_CA_1.l14 0.687727 0.190523 3.610 0.000315 ***
## Household_2_CA_1.l14 -0.057244 0.326086 -0.176 0.860668
## Foods_1_CA_1.l14 -0.231382 0.225425 -1.026 0.304832
## Foods_2_CA_1.l14 0.219743 0.135658 1.620 0.105447
## Foods_3_CA_1.l14 0.076453 0.044488 1.719 0.085880 .
## Hobbies_CA_1.l15 0.019558 0.082524 0.237 0.812684
## Household_1_CA_1.l15 -0.408570 0.191685 -2.131 0.033188 *
## Household_2_CA_1.l15 -0.226717 0.324993 -0.698 0.485515
## Foods_1_CA_1.l15 -0.104847 0.225439 -0.465 0.641933
## Foods_2_CA_1.l15 -0.128366 0.135274 -0.949 0.342787
## Foods_3_CA_1.l15 -0.023357 0.044331 -0.527 0.598346
## Hobbies_CA_1.l16 -0.038530 0.082645 -0.466 0.641121
## Household_1_CA_1.l16 -0.116794 0.191959 -0.608 0.542980
## Household_2_CA_1.l16 0.230654 0.324354 0.711 0.477105
## Foods_1_CA_1.l16 -0.346580 0.225462 -1.537 0.124424
## Foods_2_CA_1.l16 -0.032458 0.135351 -0.240 0.810509
## Foods_3_CA_1.l16 0.026867 0.044282 0.607 0.544121
## Hobbies_CA_1.l17 -0.082401 0.082515 -0.999 0.318115
## Household_1_CA_1.l17 0.447294 0.192067 2.329 0.019979 *
## Household_2_CA_1.l17 0.181222 0.324313 0.559 0.576378
## Foods_1_CA_1.l17 0.045329 0.225650 0.201 0.840815
## Foods_2_CA_1.l17 0.263359 0.135396 1.945 0.051921 .
## Foods_3_CA_1.l17 -0.093109 0.044290 -2.102 0.035674 *
## Hobbies_CA_1.l18 0.134758 0.082422 1.635 0.102231
## Household_1_CA_1.l18 -0.096409 0.192550 -0.501 0.616646
## Household_2_CA_1.l18 0.506759 0.323942 1.564 0.117913
## Foods_1_CA_1.l18 0.040011 0.225715 0.177 0.859320
## Foods_2_CA_1.l18 -0.076202 0.135413 -0.563 0.573686
## Foods_3_CA_1.l18 -0.020296 0.044275 -0.458 0.646712
## Hobbies_CA_1.l19 0.076360 0.082520 0.925 0.354911
## Household_1_CA_1.l19 0.329794 0.192511 1.713 0.086866 .
## Household_2_CA_1.l19 0.258581 0.324512 0.797 0.425656
## Foods_1_CA_1.l19 -0.181737 0.225441 -0.806 0.420270
## Foods_2_CA_1.l19 0.056346 0.135511 0.416 0.677606
## Foods_3_CA_1.l19 -0.042181 0.044378 -0.950 0.341997
## Hobbies_CA_1.l20 0.103851 0.082594 1.257 0.208785
## Household_1_CA_1.l20 -0.036576 0.192760 -0.190 0.849529
## Household_2_CA_1.l20 -0.727439 0.324382 -2.243 0.025050 *
## Foods_1_CA_1.l20 -0.360684 0.224903 -1.604 0.108951
## Foods_2_CA_1.l20 -0.260137 0.135610 -1.918 0.055237 .
## Foods_3_CA_1.l20 0.092545 0.044386 2.085 0.037213 *
## Hobbies_CA_1.l21 -0.125085 0.082430 -1.517 0.129326
## Household_1_CA_1.l21 0.146041 0.192693 0.758 0.448613
## Household_2_CA_1.l21 0.314142 0.325070 0.966 0.333984
## Foods_1_CA_1.l21 -0.147111 0.224992 -0.654 0.513294
## Foods_2_CA_1.l21 0.020312 0.135666 0.150 0.881001
## Foods_3_CA_1.l21 0.111576 0.044317 2.518 0.011901 *
## Hobbies_CA_1.l22 -0.011601 0.082193 -0.141 0.887774
## Household_1_CA_1.l22 -0.439798 0.194239 -2.264 0.023682 *
## Household_2_CA_1.l22 0.518319 0.323469 1.602 0.109251
## Foods_1_CA_1.l22 0.083505 0.225111 0.371 0.710720
## Foods_2_CA_1.l22 0.205363 0.135268 1.518 0.129144
## Foods_3_CA_1.l22 -0.070302 0.044074 -1.595 0.110874
## Hobbies_CA_1.l23 -0.016841 0.082114 -0.205 0.837520
## Household_1_CA_1.l23 -0.192880 0.193967 -0.994 0.320164
## Household_2_CA_1.l23 -0.554585 0.322001 -1.722 0.085188 .
## Foods_1_CA_1.l23 0.206971 0.225479 0.918 0.358789
## Foods_2_CA_1.l23 -0.231003 0.135010 -1.711 0.087255 .
## Foods_3_CA_1.l23 0.082435 0.043944 1.876 0.060830 .
## Hobbies_CA_1.l24 -0.201718 0.082130 -2.456 0.014141 *
## Household_1_CA_1.l24 -0.215766 0.192713 -1.120 0.263026
## Household_2_CA_1.l24 -0.425247 0.321681 -1.322 0.186355
## Foods_1_CA_1.l24 -0.026263 0.226020 -0.116 0.907509
## Foods_2_CA_1.l24 -0.121666 0.134815 -0.902 0.366930
## Foods_3_CA_1.l24 0.054188 0.043983 1.232 0.218105
## Hobbies_CA_1.l25 0.160142 0.082210 1.948 0.051578 .
## Household_1_CA_1.l25 0.061396 0.192614 0.319 0.749954
## Household_2_CA_1.l25 0.102109 0.320675 0.318 0.750204
## Foods_1_CA_1.l25 -0.050323 0.225814 -0.223 0.823676
## Foods_2_CA_1.l25 -0.123288 0.134629 -0.916 0.359917
## Foods_3_CA_1.l25 -0.028982 0.044036 -0.658 0.510532
## Hobbies_CA_1.l26 -0.096416 0.082204 -1.173 0.240999
## Household_1_CA_1.l26 -0.097011 0.192964 -0.503 0.615209
## Household_2_CA_1.l26 -0.119486 0.320192 -0.373 0.709068
## Foods_1_CA_1.l26 0.321666 0.224203 1.435 0.151548
## Foods_2_CA_1.l26 0.081740 0.134619 0.607 0.543797
## Foods_3_CA_1.l26 0.006676 0.044030 0.152 0.879494
## Hobbies_CA_1.l27 0.134175 0.081674 1.643 0.100598
## Household_1_CA_1.l27 -0.116441 0.192193 -0.606 0.544689
## Household_2_CA_1.l27 0.266601 0.319277 0.835 0.403822
## Foods_1_CA_1.l27 0.284591 0.222775 1.277 0.201600
## Foods_2_CA_1.l27 -0.062448 0.133431 -0.468 0.639830
## Foods_3_CA_1.l27 0.010225 0.043682 0.234 0.814950
## Hobbies_CA_1.l28 -0.116930 0.080229 -1.457 0.145166
## Household_1_CA_1.l28 0.190593 0.186442 1.022 0.306794
## Household_2_CA_1.l28 0.213019 0.315636 0.675 0.499836
## Foods_1_CA_1.l28 0.369319 0.212460 1.738 0.082332 .
## Foods_2_CA_1.l28 0.161004 0.125511 1.283 0.199736
## Foods_3_CA_1.l28 0.093098 0.041200 2.260 0.023962 *
## const 100.854058 67.475236 1.495 0.135175
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 193.3 on 1772 degrees of freedom
## Multiple R-Squared: 0.8255, Adjusted R-squared: 0.809
## F-statistic: 49.9 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
##
## Covariance matrix of residuals:
## Hobbies_CA_1 Household_1_CA_1 Household_2_CA_1 Foods_1_CA_1
## Hobbies_CA_1 3663.4 555.2 272.7 376.8
## Household_1_CA_1 555.2 879.6 195.2 282.0
## Household_2_CA_1 272.7 195.2 273.5 123.3
## Foods_1_CA_1 376.8 282.0 123.3 611.8
## Foods_2_CA_1 552.2 504.6 231.9 326.5
## Foods_3_CA_1 3579.7 2879.6 1383.5 2010.6
## Foods_2_CA_1 Foods_3_CA_1
## Hobbies_CA_1 552.2 3580
## Household_1_CA_1 504.6 2880
## Household_2_CA_1 231.9 1384
## Foods_1_CA_1 326.5 2011
## Foods_2_CA_1 2990.9 7722
## Foods_3_CA_1 7722.2 37352
##
## Correlation matrix of residuals:
## Hobbies_CA_1 Household_1_CA_1 Household_2_CA_1 Foods_1_CA_1
## Hobbies_CA_1 1.0000 0.3093 0.2725 0.2517
## Household_1_CA_1 0.3093 1.0000 0.3981 0.3844
## Household_2_CA_1 0.2725 0.3981 1.0000 0.3015
## Foods_1_CA_1 0.2517 0.3844 0.3015 1.0000
## Foods_2_CA_1 0.1668 0.3111 0.2564 0.2414
## Foods_3_CA_1 0.3060 0.5024 0.4329 0.4206
## Foods_2_CA_1 Foods_3_CA_1
## Hobbies_CA_1 0.1668 0.3060
## Household_1_CA_1 0.3111 0.5024
## Household_2_CA_1 0.2564 0.4329
## Foods_1_CA_1 0.2414 0.4206
## Foods_2_CA_1 1.0000 0.7306
## Foods_3_CA_1 0.7306 1.0000We then run some further model diagnostics, including the serial.test() command for autocorrelation of residuals, the arch.test() command for the presence of heteroscedasticity, the normality.test() command for the normality of the distribution of the residuals and the stability() command for the presence of structural breaks.
Model1 <- VAR(v1, p = 28, type = "const", season = NULL, exog = NULL)
summary(Model1)##
## VAR Estimation Results:
## =========================
## Endogenous variables: Hobbies_CA_1, Household_1_CA_1, Household_2_CA_1, Foods_1_CA_1, Foods_2_CA_1, Foods_3_CA_1
## Deterministic variables: const
## Sample size: 1941
## Log Likelihood: -58492.3
## Roots of the characteristic polynomial:
## 0.9989 0.9989 0.9984 0.9936 0.992 0.992 0.9867 0.9867 0.9844 0.9805 0.9761 0.9761 0.9729 0.9729 0.9721 0.9721 0.9624 0.9624 0.952 0.952 0.9515 0.9515 0.9486 0.9486 0.9477 0.9477 0.9466 0.9466 0.9466 0.9466 0.9465 0.9465 0.9463 0.9463 0.943 0.943 0.943 0.943 0.9403 0.9403 0.9401 0.9401 0.9401 0.9399 0.9399 0.9395 0.9395 0.9377 0.9377 0.9371 0.9371 0.9368 0.9368 0.9365 0.9365 0.936 0.936 0.9359 0.9359 0.9359 0.9359 0.9352 0.9352 0.9342 0.9342 0.9325 0.9325 0.9325 0.9325 0.9324 0.9324 0.9318 0.9318 0.9307 0.9307 0.9306 0.9306 0.9298 0.9298 0.9288 0.9288 0.9275 0.9275 0.9272 0.9272 0.9259 0.9259 0.9255 0.9255 0.9249 0.9249 0.9247 0.9247 0.924 0.924 0.9236 0.9236 0.9225 0.9225 0.9223 0.9223 0.9217 0.9217 0.9195 0.9195 0.9184 0.9184 0.9175 0.9175 0.9174 0.9174 0.9158 0.9158 0.9146 0.9146 0.9143 0.9143 0.9127 0.9127 0.9125 0.9125 0.9113 0.9113 0.9107 0.9107 0.9099 0.9099 0.9094 0.9094 0.9092 0.9092 0.9088 0.9088 0.9025 0.9025 0.9005 0.9005 0.9005 0.9005 0.9005 0.9005 0.8996 0.8955 0.8955 0.8933 0.8933 0.8932 0.8932 0.8758 0.8758 0.8735 0.8735 0.8721 0.8721 0.8689 0.8689 0.8642 0.8642 0.7788 0.7788 0.7403 0.7403 0.7289 0.7089 0.7089 0.6228 0.6228 0.1806
## Call:
## VAR(y = v1, p = 28, type = "const", exogen = NULL)
##
##
## Estimation results for equation Hobbies_CA_1:
## =============================================
## Hobbies_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.1592642 0.0255437 6.235 5.64e-10 ***
## Household_1_CA_1.l1 0.0581590 0.0587597 0.990 0.322418
## Household_2_CA_1.l1 0.1374725 0.1001903 1.372 0.170201
## Foods_1_CA_1.l1 0.0634799 0.0662419 0.958 0.338040
## Foods_2_CA_1.l1 -0.0792069 0.0388862 -2.037 0.041810 *
## Foods_3_CA_1.l1 -0.0213182 0.0128867 -1.654 0.098248 .
## Hobbies_CA_1.l2 0.0807449 0.0258606 3.122 0.001823 **
## Household_1_CA_1.l2 0.0066810 0.0596896 0.112 0.910893
## Household_2_CA_1.l2 0.0568204 0.1010959 0.562 0.574157
## Foods_1_CA_1.l2 -0.0287366 0.0694729 -0.414 0.679189
## Foods_2_CA_1.l2 0.0469106 0.0415361 1.129 0.258885
## Foods_3_CA_1.l2 -0.0461397 0.0136061 -3.391 0.000711 ***
## Hobbies_CA_1.l3 0.0521491 0.0259476 2.010 0.044605 *
## Household_1_CA_1.l3 -0.0350095 0.0597806 -0.586 0.558197
## Household_2_CA_1.l3 0.0171067 0.1014757 0.169 0.866147
## Foods_1_CA_1.l3 -0.0518696 0.0698384 -0.743 0.457756
## Foods_2_CA_1.l3 0.0533807 0.0418562 1.275 0.202357
## Foods_3_CA_1.l3 -0.0148684 0.0137497 -1.081 0.279684
## Hobbies_CA_1.l4 0.0631584 0.0259369 2.435 0.014987 *
## Household_1_CA_1.l4 -0.1383261 0.0597034 -2.317 0.020623 *
## Household_2_CA_1.l4 -0.2043224 0.1013226 -2.017 0.043893 *
## Foods_1_CA_1.l4 -0.0713971 0.0700873 -1.019 0.308491
## Foods_2_CA_1.l4 -0.0558780 0.0418657 -1.335 0.182147
## Foods_3_CA_1.l4 0.0340244 0.0137360 2.477 0.013341 *
## Hobbies_CA_1.l5 0.0278357 0.0258779 1.076 0.282228
## Household_1_CA_1.l5 0.0798901 0.0596996 1.338 0.181002
## Household_2_CA_1.l5 -0.1764727 0.1017934 -1.734 0.083157 .
## Foods_1_CA_1.l5 0.1570730 0.0702593 2.236 0.025501 *
## Foods_2_CA_1.l5 0.0477287 0.0420052 1.136 0.256003
## Foods_3_CA_1.l5 -0.0438231 0.0137510 -3.187 0.001463 **
## Hobbies_CA_1.l6 0.0156029 0.0258828 0.603 0.546700
## Household_1_CA_1.l6 -0.0770885 0.0597659 -1.290 0.197274
## Household_2_CA_1.l6 0.1848030 0.1018678 1.814 0.069824 .
## Foods_1_CA_1.l6 -0.0473328 0.0702049 -0.674 0.500266
## Foods_2_CA_1.l6 -0.0476058 0.0421198 -1.130 0.258524
## Foods_3_CA_1.l6 0.0413824 0.0138113 2.996 0.002771 **
## Hobbies_CA_1.l7 0.0535327 0.0259144 2.066 0.038997 *
## Household_1_CA_1.l7 0.0619073 0.0600498 1.031 0.302712
## Household_2_CA_1.l7 0.1719534 0.1023837 1.679 0.093231 .
## Foods_1_CA_1.l7 0.0756101 0.0701346 1.078 0.281148
## Foods_2_CA_1.l7 0.0650842 0.0421126 1.545 0.122409
## Foods_3_CA_1.l7 -0.0112502 0.0138631 -0.812 0.417175
## Hobbies_CA_1.l8 -0.0146750 0.0259199 -0.566 0.571351
## Household_1_CA_1.l8 -0.0216151 0.0596866 -0.362 0.717288
## Household_2_CA_1.l8 -0.0243222 0.1028500 -0.236 0.813086
## Foods_1_CA_1.l8 0.0659009 0.0701608 0.939 0.347714
## Foods_2_CA_1.l8 -0.0202892 0.0422561 -0.480 0.631180
## Foods_3_CA_1.l8 -0.0046539 0.0139606 -0.333 0.738904
## Hobbies_CA_1.l9 0.0186893 0.0259694 0.720 0.471825
## Household_1_CA_1.l9 0.0492823 0.0596906 0.826 0.409126
## Household_2_CA_1.l9 0.0515418 0.1026566 0.502 0.615674
## Foods_1_CA_1.l9 -0.1257596 0.0701686 -1.792 0.073264 .
## Foods_2_CA_1.l9 -0.0090448 0.0422199 -0.214 0.830392
## Foods_3_CA_1.l9 0.0102211 0.0139177 0.734 0.462806
## Hobbies_CA_1.l10 0.0460505 0.0258962 1.778 0.075531 .
## Household_1_CA_1.l10 0.0171761 0.0596108 0.288 0.773275
## Household_2_CA_1.l10 -0.0438138 0.1025952 -0.427 0.669391
## Foods_1_CA_1.l10 0.0184224 0.0702533 0.262 0.793176
## Foods_2_CA_1.l10 -0.0080917 0.0422665 -0.191 0.848199
## Foods_3_CA_1.l10 0.0125298 0.0139726 0.897 0.369980
## Hobbies_CA_1.l11 0.0508955 0.0258934 1.966 0.049504 *
## Household_1_CA_1.l11 0.0640000 0.0594477 1.077 0.281817
## Household_2_CA_1.l11 -0.0396317 0.1026776 -0.386 0.699556
## Foods_1_CA_1.l11 -0.0424614 0.0703538 -0.604 0.546226
## Foods_2_CA_1.l11 0.0685918 0.0423067 1.621 0.105132
## Foods_3_CA_1.l11 -0.0204283 0.0139718 -1.462 0.143889
## Hobbies_CA_1.l12 0.0065523 0.0259043 0.253 0.800341
## Household_1_CA_1.l12 -0.0702404 0.0595639 -1.179 0.238459
## Household_2_CA_1.l12 -0.0585423 0.1025136 -0.571 0.568025
## Foods_1_CA_1.l12 -0.1538886 0.0703876 -2.186 0.028924 *
## Foods_2_CA_1.l12 -0.0724866 0.0423415 -1.712 0.087081 .
## Foods_3_CA_1.l12 0.0327557 0.0139648 2.346 0.019107 *
## Hobbies_CA_1.l13 0.0147854 0.0258516 0.572 0.567439
## Household_1_CA_1.l13 0.0387879 0.0595022 0.652 0.514567
## Household_2_CA_1.l13 0.0975671 0.1022115 0.955 0.339930
## Foods_1_CA_1.l13 0.0677152 0.0705271 0.960 0.337121
## Foods_2_CA_1.l13 -0.0543229 0.0424158 -1.281 0.200459
## Foods_3_CA_1.l13 0.0056006 0.0139865 0.400 0.688889
## Hobbies_CA_1.l14 0.0730914 0.0258137 2.831 0.004685 **
## Household_1_CA_1.l14 0.0678331 0.0596669 1.137 0.255749
## Household_2_CA_1.l14 0.0959409 0.1021218 0.939 0.347615
## Foods_1_CA_1.l14 0.0010310 0.0705974 0.015 0.988349
## Foods_2_CA_1.l14 0.0825523 0.0424846 1.943 0.052161 .
## Foods_3_CA_1.l14 -0.0241155 0.0139325 -1.731 0.083646 .
## Hobbies_CA_1.l15 0.0289120 0.0258442 1.119 0.263418
## Household_1_CA_1.l15 0.0234709 0.0600309 0.391 0.695859
## Household_2_CA_1.l15 -0.1679079 0.1017794 -1.650 0.099177 .
## Foods_1_CA_1.l15 -0.0263935 0.0706016 -0.374 0.708570
## Foods_2_CA_1.l15 0.0634076 0.0423644 1.497 0.134645
## Foods_3_CA_1.l15 -0.0015679 0.0138833 -0.113 0.910095
## Hobbies_CA_1.l16 0.0319159 0.0258821 1.233 0.217692
## Household_1_CA_1.l16 -0.0082445 0.0601165 -0.137 0.890934
## Household_2_CA_1.l16 0.0146666 0.1015792 0.144 0.885212
## Foods_1_CA_1.l16 -0.0354057 0.0706090 -0.501 0.616128
## Foods_2_CA_1.l16 -0.0783187 0.0423883 -1.848 0.064820 .
## Foods_3_CA_1.l16 0.0285866 0.0138681 2.061 0.039419 *
## Hobbies_CA_1.l17 -0.0582978 0.0258415 -2.256 0.024194 *
## Household_1_CA_1.l17 0.1061997 0.0601504 1.766 0.077640 .
## Household_2_CA_1.l17 -0.0730089 0.1015665 -0.719 0.472341
## Foods_1_CA_1.l17 0.0636495 0.0706679 0.901 0.367878
## Foods_2_CA_1.l17 0.0116101 0.0424026 0.274 0.784266
## Foods_3_CA_1.l17 -0.0047643 0.0138706 -0.343 0.731276
## Hobbies_CA_1.l18 0.0502210 0.0258124 1.946 0.051858 .
## Household_1_CA_1.l18 0.0629043 0.0603016 1.043 0.297016
## Household_2_CA_1.l18 -0.0036594 0.1014501 -0.036 0.971230
## Foods_1_CA_1.l18 0.0386731 0.0706880 0.547 0.584381
## Foods_2_CA_1.l18 0.0003772 0.0424078 0.009 0.992904
## Foods_3_CA_1.l18 -0.0200364 0.0138659 -1.445 0.148630
## Hobbies_CA_1.l19 0.0613942 0.0258431 2.376 0.017624 *
## Household_1_CA_1.l19 -0.0260741 0.0602895 -0.432 0.665444
## Household_2_CA_1.l19 0.1703414 0.1016286 1.676 0.093892 .
## Foods_1_CA_1.l19 -0.0926053 0.0706022 -1.312 0.189809
## Foods_2_CA_1.l19 0.0546985 0.0424385 1.289 0.197605
## Foods_3_CA_1.l19 -0.0108390 0.0138981 -0.780 0.435560
## Hobbies_CA_1.l20 0.0001530 0.0258663 0.006 0.995281
## Household_1_CA_1.l20 0.0427819 0.0603674 0.709 0.478609
## Household_2_CA_1.l20 0.0080036 0.1015880 0.079 0.937212
## Foods_1_CA_1.l20 -0.0585872 0.0704337 -0.832 0.405630
## Foods_2_CA_1.l20 0.0258585 0.0424695 0.609 0.542686
## Foods_3_CA_1.l20 -0.0001781 0.0139007 -0.013 0.989781
## Hobbies_CA_1.l21 -0.0018831 0.0258150 -0.073 0.941859
## Household_1_CA_1.l21 0.0104986 0.0603464 0.174 0.861908
## Household_2_CA_1.l21 0.0719698 0.1018035 0.707 0.479691
## Foods_1_CA_1.l21 -0.1083205 0.0704618 -1.537 0.124400
## Foods_2_CA_1.l21 -0.0145535 0.0424869 -0.343 0.731984
## Foods_3_CA_1.l21 0.0108188 0.0138790 0.780 0.435784
## Hobbies_CA_1.l22 -0.0295953 0.0257406 -1.150 0.250402
## Household_1_CA_1.l22 -0.0170097 0.0608306 -0.280 0.779798
## Household_2_CA_1.l22 -0.0097225 0.1013022 -0.096 0.923551
## Foods_1_CA_1.l22 0.1620441 0.0704991 2.299 0.021648 *
## Foods_2_CA_1.l22 -0.0096419 0.0423624 -0.228 0.819979
## Foods_3_CA_1.l22 -0.0001125 0.0138029 -0.008 0.993499
## Hobbies_CA_1.l23 0.0358913 0.0257160 1.396 0.162986
## Household_1_CA_1.l23 -0.1086268 0.0607453 -1.788 0.073909 .
## Household_2_CA_1.l23 0.0670586 0.1008423 0.665 0.506147
## Foods_1_CA_1.l23 -0.1877066 0.0706143 -2.658 0.007927 **
## Foods_2_CA_1.l23 -0.0692748 0.0422817 -1.638 0.101513
## Foods_3_CA_1.l23 0.0157634 0.0137621 1.145 0.252188
## Hobbies_CA_1.l24 -0.0567152 0.0257209 -2.205 0.027580 *
## Household_1_CA_1.l24 -0.0193999 0.0603529 -0.321 0.747914
## Household_2_CA_1.l24 0.1105260 0.1007422 1.097 0.272739
## Foods_1_CA_1.l24 0.1221784 0.0707837 1.726 0.084507 .
## Foods_2_CA_1.l24 0.0187241 0.0422204 0.443 0.657470
## Foods_3_CA_1.l24 -0.0072023 0.0137742 -0.523 0.601120
## Hobbies_CA_1.l25 -0.0316637 0.0257461 -1.230 0.218919
## Household_1_CA_1.l25 -0.0170964 0.0603218 -0.283 0.776888
## Household_2_CA_1.l25 0.0080608 0.1004270 0.080 0.936035
## Foods_1_CA_1.l25 0.0145160 0.0707191 0.205 0.837390
## Foods_2_CA_1.l25 -0.1064808 0.0421624 -2.525 0.011640 *
## Foods_3_CA_1.l25 0.0157214 0.0137908 1.140 0.254444
## Hobbies_CA_1.l26 0.0133280 0.0257441 0.518 0.604726
## Household_1_CA_1.l26 -0.0901206 0.0604314 -1.491 0.136064
## Household_2_CA_1.l26 -0.0485910 0.1002758 -0.485 0.628039
## Foods_1_CA_1.l26 0.0717869 0.0702146 1.022 0.306735
## Foods_2_CA_1.l26 0.0577271 0.0421591 1.369 0.171089
## Foods_3_CA_1.l26 0.0005516 0.0137890 0.040 0.968098
## Hobbies_CA_1.l27 0.0081460 0.0255780 0.318 0.750161
## Household_1_CA_1.l27 0.0417045 0.0601899 0.693 0.488474
## Household_2_CA_1.l27 -0.0852248 0.0999891 -0.852 0.394140
## Foods_1_CA_1.l27 0.1560365 0.0697673 2.237 0.025441 *
## Foods_2_CA_1.l27 -0.0534564 0.0417873 -1.279 0.200976
## Foods_3_CA_1.l27 -0.0011330 0.0136800 -0.083 0.934001
## Hobbies_CA_1.l28 0.0814173 0.0251255 3.240 0.001216 **
## Household_1_CA_1.l28 0.0562325 0.0583888 0.963 0.335644
## Household_2_CA_1.l28 -0.2135404 0.0988490 -2.160 0.030885 *
## Foods_1_CA_1.l28 0.0651742 0.0665370 0.980 0.327458
## Foods_2_CA_1.l28 0.0264673 0.0393069 0.673 0.500813
## Foods_3_CA_1.l28 0.0160523 0.0129027 1.244 0.213625
## const 41.7738205 21.1314924 1.977 0.048213 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 60.53 on 1772 degrees of freedom
## Multiple R-Squared: 0.572, Adjusted R-squared: 0.5314
## F-statistic: 14.1 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_1:
## =================================================
## Household_1_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 -0.0022587 0.0125168 -0.180 0.85682
## Household_1_CA_1.l1 0.2007818 0.0287931 6.973 4.35e-12 ***
## Household_2_CA_1.l1 0.1432003 0.0490946 2.917 0.00358 **
## Foods_1_CA_1.l1 0.0734282 0.0324594 2.262 0.02381 *
## Foods_2_CA_1.l1 -0.0060320 0.0190548 -0.317 0.75161
## Foods_3_CA_1.l1 -0.0139050 0.0063147 -2.202 0.02779 *
## Hobbies_CA_1.l2 0.0024779 0.0126721 0.196 0.84499
## Household_1_CA_1.l2 0.0777630 0.0292487 2.659 0.00792 **
## Household_2_CA_1.l2 -0.0995108 0.0495384 -2.009 0.04471 *
## Foods_1_CA_1.l2 0.0124295 0.0340426 0.365 0.71507
## Foods_2_CA_1.l2 0.0068886 0.0203532 0.338 0.73506
## Foods_3_CA_1.l2 -0.0160967 0.0066672 -2.414 0.01587 *
## Hobbies_CA_1.l3 -0.0065563 0.0127147 -0.516 0.60616
## Household_1_CA_1.l3 0.0204822 0.0292933 0.699 0.48451
## Household_2_CA_1.l3 0.0008958 0.0497245 0.018 0.98563
## Foods_1_CA_1.l3 -0.0233455 0.0342217 -0.682 0.49521
## Foods_2_CA_1.l3 0.0268428 0.0205101 1.309 0.19078
## Foods_3_CA_1.l3 -0.0018892 0.0067375 -0.280 0.77921
## Hobbies_CA_1.l4 -0.0094979 0.0127094 -0.747 0.45498
## Household_1_CA_1.l4 -0.0398989 0.0292555 -1.364 0.17280
## Household_2_CA_1.l4 -0.0966499 0.0496495 -1.947 0.05174 .
## Foods_1_CA_1.l4 -0.0207955 0.0343437 -0.606 0.54492
## Foods_2_CA_1.l4 -0.0324122 0.0205148 -1.580 0.11430
## Foods_3_CA_1.l4 0.0132573 0.0067308 1.970 0.04903 *
## Hobbies_CA_1.l5 0.0373150 0.0126805 2.943 0.00330 **
## Household_1_CA_1.l5 0.0392999 0.0292536 1.343 0.17931
## Household_2_CA_1.l5 -0.0412176 0.0498801 -0.826 0.40873
## Foods_1_CA_1.l5 -0.0232869 0.0344280 -0.676 0.49888
## Foods_2_CA_1.l5 0.0637348 0.0205831 3.096 0.00199 **
## Foods_3_CA_1.l5 -0.0267552 0.0067382 -3.971 7.45e-05 ***
## Hobbies_CA_1.l6 -0.0348751 0.0126829 -2.750 0.00602 **
## Household_1_CA_1.l6 0.0627253 0.0292861 2.142 0.03234 *
## Household_2_CA_1.l6 0.0741057 0.0499166 1.485 0.13783
## Foods_1_CA_1.l6 -0.0133855 0.0344014 -0.389 0.69725
## Foods_2_CA_1.l6 -0.0279091 0.0206393 -1.352 0.17647
## Foods_3_CA_1.l6 0.0058525 0.0067677 0.865 0.38729
## Hobbies_CA_1.l7 0.0088386 0.0126984 0.696 0.48650
## Household_1_CA_1.l7 0.0932695 0.0294252 3.170 0.00155 **
## Household_2_CA_1.l7 -0.0387933 0.0501694 -0.773 0.43948
## Foods_1_CA_1.l7 -0.0243711 0.0343669 -0.709 0.47833
## Foods_2_CA_1.l7 -0.0084303 0.0206357 -0.409 0.68293
## Foods_3_CA_1.l7 0.0153354 0.0067931 2.257 0.02410 *
## Hobbies_CA_1.l8 -0.0071486 0.0127011 -0.563 0.57362
## Household_1_CA_1.l8 0.0185186 0.0292472 0.633 0.52670
## Household_2_CA_1.l8 0.0038035 0.0503979 0.075 0.93985
## Foods_1_CA_1.l8 0.0099245 0.0343798 0.289 0.77287
## Foods_2_CA_1.l8 0.0063218 0.0207060 0.305 0.76016
## Foods_3_CA_1.l8 0.0022514 0.0068409 0.329 0.74211
## Hobbies_CA_1.l9 -0.0032590 0.0127254 -0.256 0.79790
## Household_1_CA_1.l9 -0.0019858 0.0292492 -0.068 0.94588
## Household_2_CA_1.l9 0.0338767 0.0503031 0.673 0.50075
## Foods_1_CA_1.l9 -0.0538902 0.0343836 -1.567 0.11722
## Foods_2_CA_1.l9 0.0309032 0.0206883 1.494 0.13542
## Foods_3_CA_1.l9 -0.0110325 0.0068199 -1.618 0.10591
## Hobbies_CA_1.l10 0.0109200 0.0126895 0.861 0.38960
## Household_1_CA_1.l10 0.0106391 0.0292101 0.364 0.71573
## Household_2_CA_1.l10 0.0862552 0.0502731 1.716 0.08639 .
## Foods_1_CA_1.l10 -0.0519606 0.0344251 -1.509 0.13138
## Foods_2_CA_1.l10 -0.0379198 0.0207112 -1.831 0.06729 .
## Foods_3_CA_1.l10 0.0121337 0.0068468 1.772 0.07654 .
## Hobbies_CA_1.l11 0.0104478 0.0126881 0.823 0.41037
## Household_1_CA_1.l11 -0.0254558 0.0291302 -0.874 0.38231
## Household_2_CA_1.l11 0.0312769 0.0503134 0.622 0.53426
## Foods_1_CA_1.l11 0.0439684 0.0344743 1.275 0.20234
## Foods_2_CA_1.l11 0.0232842 0.0207309 1.123 0.26152
## Foods_3_CA_1.l11 -0.0066477 0.0068464 -0.971 0.33169
## Hobbies_CA_1.l12 -0.0135837 0.0126935 -1.070 0.28470
## Household_1_CA_1.l12 -0.0007842 0.0291871 -0.027 0.97857
## Household_2_CA_1.l12 0.0017507 0.0502330 0.035 0.97220
## Foods_1_CA_1.l12 0.0233428 0.0344909 0.677 0.49863
## Foods_2_CA_1.l12 0.0116055 0.0207479 0.559 0.57599
## Foods_3_CA_1.l12 0.0036118 0.0068430 0.528 0.59770
## Hobbies_CA_1.l13 -0.0140484 0.0126676 -1.109 0.26758
## Household_1_CA_1.l13 0.0907936 0.0291569 3.114 0.00188 **
## Household_2_CA_1.l13 -0.0133388 0.0500850 -0.266 0.79002
## Foods_1_CA_1.l13 0.0086135 0.0345592 0.249 0.80320
## Foods_2_CA_1.l13 -0.0448060 0.0207843 -2.156 0.03124 *
## Foods_3_CA_1.l13 0.0058379 0.0068536 0.852 0.39444
## Hobbies_CA_1.l14 -0.0040888 0.0126491 -0.323 0.74654
## Household_1_CA_1.l14 0.1608110 0.0292376 5.500 4.35e-08 ***
## Household_2_CA_1.l14 0.0621304 0.0500411 1.242 0.21455
## Foods_1_CA_1.l14 -0.0232319 0.0345937 -0.672 0.50195
## Foods_2_CA_1.l14 0.0246373 0.0208180 1.183 0.23679
## Foods_3_CA_1.l14 0.0002503 0.0068271 0.037 0.97076
## Hobbies_CA_1.l15 0.0182383 0.0126640 1.440 0.15000
## Household_1_CA_1.l15 -0.0476182 0.0294159 -1.619 0.10567
## Household_2_CA_1.l15 -0.0048038 0.0498733 -0.096 0.92328
## Foods_1_CA_1.l15 -0.0540987 0.0345957 -1.564 0.11806
## Foods_2_CA_1.l15 0.0252786 0.0207591 1.218 0.22350
## Foods_3_CA_1.l15 -0.0028390 0.0068030 -0.417 0.67650
## Hobbies_CA_1.l16 -0.0020711 0.0126826 -0.163 0.87030
## Household_1_CA_1.l16 -0.0182508 0.0294579 -0.620 0.53563
## Household_2_CA_1.l16 0.0520534 0.0497752 1.046 0.29581
## Foods_1_CA_1.l16 0.0185793 0.0345993 0.537 0.59135
## Foods_2_CA_1.l16 -0.0089232 0.0207708 -0.430 0.66754
## Foods_3_CA_1.l16 0.0080588 0.0067956 1.186 0.23582
## Hobbies_CA_1.l17 -0.0096979 0.0126627 -0.766 0.44386
## Household_1_CA_1.l17 0.0483242 0.0294745 1.640 0.10128
## Household_2_CA_1.l17 0.0002325 0.0497689 0.005 0.99627
## Foods_1_CA_1.l17 -0.0269515 0.0346282 -0.778 0.43649
## Foods_2_CA_1.l17 0.0133484 0.0207778 0.642 0.52067
## Foods_3_CA_1.l17 -0.0061448 0.0067968 -0.904 0.36608
## Hobbies_CA_1.l18 0.0134649 0.0126484 1.065 0.28722
## Household_1_CA_1.l18 0.0417295 0.0295486 1.412 0.15806
## Household_2_CA_1.l18 -0.0619404 0.0497119 -1.246 0.21293
## Foods_1_CA_1.l18 0.0127071 0.0346381 0.367 0.71377
## Foods_2_CA_1.l18 -0.0342997 0.0207804 -1.651 0.09900 .
## Foods_3_CA_1.l18 0.0104899 0.0067945 1.544 0.12279
## Hobbies_CA_1.l19 0.0077810 0.0126635 0.614 0.53900
## Household_1_CA_1.l19 -0.0046579 0.0295427 -0.158 0.87474
## Household_2_CA_1.l19 0.0206351 0.0497994 0.414 0.67866
## Foods_1_CA_1.l19 0.0025035 0.0345961 0.072 0.94232
## Foods_2_CA_1.l19 -0.0078754 0.0207954 -0.379 0.70495
## Foods_3_CA_1.l19 -0.0056493 0.0068103 -0.830 0.40692
## Hobbies_CA_1.l20 0.0176300 0.0126748 1.391 0.16442
## Household_1_CA_1.l20 0.0213399 0.0295808 0.721 0.47075
## Household_2_CA_1.l20 0.0012057 0.0497795 0.024 0.98068
## Foods_1_CA_1.l20 -0.0789096 0.0345134 -2.286 0.02235 *
## Foods_2_CA_1.l20 0.0019691 0.0208106 0.095 0.92463
## Foods_3_CA_1.l20 0.0031624 0.0068115 0.464 0.64251
## Hobbies_CA_1.l21 -0.0198111 0.0126497 -1.566 0.11750
## Household_1_CA_1.l21 0.1603630 0.0295706 5.423 6.66e-08 ***
## Household_2_CA_1.l21 0.0371929 0.0498851 0.746 0.45603
## Foods_1_CA_1.l21 -0.0095896 0.0345272 -0.278 0.78124
## Foods_2_CA_1.l21 0.0361945 0.0208192 1.739 0.08229 .
## Foods_3_CA_1.l21 -0.0052431 0.0068009 -0.771 0.44084
## Hobbies_CA_1.l22 -0.0098132 0.0126133 -0.778 0.43667
## Household_1_CA_1.l22 -0.0103786 0.0298078 -0.348 0.72774
## Household_2_CA_1.l22 0.0296204 0.0496394 0.597 0.55078
## Foods_1_CA_1.l22 0.0267503 0.0345455 0.774 0.43883
## Foods_2_CA_1.l22 -0.0071716 0.0207581 -0.345 0.72977
## Foods_3_CA_1.l22 -0.0016275 0.0067636 -0.241 0.80987
## Hobbies_CA_1.l23 -0.0019072 0.0126012 -0.151 0.87972
## Household_1_CA_1.l23 -0.0214805 0.0297660 -0.722 0.47061
## Household_2_CA_1.l23 -0.0426432 0.0494141 -0.863 0.38827
## Foods_1_CA_1.l23 -0.0430805 0.0346020 -1.245 0.21329
## Foods_2_CA_1.l23 -0.0182902 0.0207186 -0.883 0.37747
## Foods_3_CA_1.l23 0.0123958 0.0067436 1.838 0.06621 .
## Hobbies_CA_1.l24 0.0077264 0.0126036 0.613 0.53993
## Household_1_CA_1.l24 -0.0382310 0.0295737 -1.293 0.19627
## Household_2_CA_1.l24 -0.0501770 0.0493651 -1.016 0.30956
## Foods_1_CA_1.l24 0.0341598 0.0346850 0.985 0.32483
## Foods_2_CA_1.l24 0.0002083 0.0206886 0.010 0.99197
## Foods_3_CA_1.l24 -0.0053750 0.0067496 -0.796 0.42594
## Hobbies_CA_1.l25 0.0174959 0.0126160 1.387 0.16568
## Household_1_CA_1.l25 -0.0403554 0.0295585 -1.365 0.17234
## Household_2_CA_1.l25 0.0912274 0.0492106 1.854 0.06393 .
## Foods_1_CA_1.l25 -0.0200352 0.0346533 -0.578 0.56323
## Foods_2_CA_1.l25 -0.0279093 0.0206602 -1.351 0.17691
## Foods_3_CA_1.l25 0.0061083 0.0067577 0.904 0.36617
## Hobbies_CA_1.l26 -0.0225699 0.0126150 -1.789 0.07376 .
## Household_1_CA_1.l26 -0.0105788 0.0296122 -0.357 0.72095
## Household_2_CA_1.l26 -0.0657921 0.0491365 -1.339 0.18075
## Foods_1_CA_1.l26 0.0604370 0.0344061 1.757 0.07916 .
## Foods_2_CA_1.l26 0.0063707 0.0206585 0.308 0.75783
## Foods_3_CA_1.l26 0.0013612 0.0067568 0.201 0.84036
## Hobbies_CA_1.l27 0.0245526 0.0125336 1.959 0.05028 .
## Household_1_CA_1.l27 0.0201284 0.0294939 0.682 0.49504
## Household_2_CA_1.l27 -0.0309853 0.0489960 -0.632 0.52720
## Foods_1_CA_1.l27 0.0933948 0.0341869 2.732 0.00636 **
## Foods_2_CA_1.l27 -0.0231372 0.0204763 -1.130 0.25865
## Foods_3_CA_1.l27 -0.0069936 0.0067034 -1.043 0.29695
## Hobbies_CA_1.l28 -0.0321120 0.0123118 -2.608 0.00918 **
## Household_1_CA_1.l28 0.1256535 0.0286113 4.392 1.19e-05 ***
## Household_2_CA_1.l28 0.0252750 0.0484373 0.522 0.60187
## Foods_1_CA_1.l28 0.0551518 0.0326040 1.692 0.09090 .
## Foods_2_CA_1.l28 0.0032615 0.0192609 0.169 0.86555
## Foods_3_CA_1.l28 0.0129788 0.0063225 2.053 0.04024 *
## const -0.5864742 10.3547168 -0.057 0.95484
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 29.66 on 1772 degrees of freedom
## Multiple R-Squared: 0.841, Adjusted R-squared: 0.826
## F-statistic: 55.8 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_1:
## =================================================
## Household_2_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0082211 0.0069796 1.178 0.239003
## Household_1_CA_1.l1 0.0014233 0.0160556 0.089 0.929374
## Household_2_CA_1.l1 0.1645607 0.0273761 6.011 2.23e-09 ***
## Foods_1_CA_1.l1 0.0382772 0.0181000 2.115 0.034589 *
## Foods_2_CA_1.l1 -0.0115981 0.0106253 -1.092 0.275179
## Foods_3_CA_1.l1 -0.0039283 0.0035212 -1.116 0.264743
## Hobbies_CA_1.l2 0.0053906 0.0070662 0.763 0.445638
## Household_1_CA_1.l2 -0.0133897 0.0163096 -0.821 0.411775
## Household_2_CA_1.l2 0.0258441 0.0276235 0.936 0.349615
## Foods_1_CA_1.l2 -0.0069389 0.0189828 -0.366 0.714756
## Foods_2_CA_1.l2 0.0031332 0.0113493 0.276 0.782526
## Foods_3_CA_1.l2 -0.0045163 0.0037177 -1.215 0.224607
## Hobbies_CA_1.l3 0.0077873 0.0070899 1.098 0.272194
## Household_1_CA_1.l3 0.0004216 0.0163345 0.026 0.979412
## Household_2_CA_1.l3 0.0515640 0.0277273 1.860 0.063096 .
## Foods_1_CA_1.l3 0.0058440 0.0190827 0.306 0.759454
## Foods_2_CA_1.l3 0.0018813 0.0114368 0.164 0.869362
## Foods_3_CA_1.l3 -0.0058325 0.0037570 -1.552 0.120736
## Hobbies_CA_1.l4 0.0006111 0.0070870 0.086 0.931296
## Household_1_CA_1.l4 -0.0409572 0.0163134 -2.511 0.012139 *
## Household_2_CA_1.l4 0.0587923 0.0276855 2.124 0.033844 *
## Foods_1_CA_1.l4 -0.0134468 0.0191507 -0.702 0.482675
## Foods_2_CA_1.l4 0.0111571 0.0114394 0.975 0.329533
## Foods_3_CA_1.l4 0.0008692 0.0037532 0.232 0.816889
## Hobbies_CA_1.l5 0.0024779 0.0070709 0.350 0.726048
## Household_1_CA_1.l5 0.0296716 0.0163124 1.819 0.069086 .
## Household_2_CA_1.l5 0.0117679 0.0278141 0.423 0.672281
## Foods_1_CA_1.l5 0.0212938 0.0191977 1.109 0.267502
## Foods_2_CA_1.l5 0.0130663 0.0114775 1.138 0.255097
## Foods_3_CA_1.l5 -0.0124409 0.0037573 -3.311 0.000948 ***
## Hobbies_CA_1.l6 -0.0044855 0.0070722 -0.634 0.526001
## Household_1_CA_1.l6 -0.0309351 0.0163305 -1.894 0.058345 .
## Household_2_CA_1.l6 0.1235168 0.0278344 4.438 9.66e-06 ***
## Foods_1_CA_1.l6 0.0161845 0.0191829 0.844 0.398952
## Foods_2_CA_1.l6 -0.0140814 0.0115088 -1.224 0.221291
## Foods_3_CA_1.l6 0.0075092 0.0037738 1.990 0.046765 *
## Hobbies_CA_1.l7 0.0117068 0.0070809 1.653 0.098447 .
## Household_1_CA_1.l7 0.0111214 0.0164080 0.678 0.497986
## Household_2_CA_1.l7 0.1094707 0.0279754 3.913 9.46e-05 ***
## Foods_1_CA_1.l7 -0.0524664 0.0191636 -2.738 0.006247 **
## Foods_2_CA_1.l7 -0.0012901 0.0115069 -0.112 0.910748
## Foods_3_CA_1.l7 0.0054792 0.0037880 1.446 0.148220
## Hobbies_CA_1.l8 -0.0016266 0.0070824 -0.230 0.818374
## Household_1_CA_1.l8 -0.0246879 0.0163088 -1.514 0.130260
## Household_2_CA_1.l8 0.0383867 0.0281028 1.366 0.172131
## Foods_1_CA_1.l8 0.0258843 0.0191708 1.350 0.177125
## Foods_2_CA_1.l8 0.0055815 0.0115461 0.483 0.628866
## Foods_3_CA_1.l8 0.0018131 0.0038146 0.475 0.634624
## Hobbies_CA_1.l9 0.0033956 0.0070959 0.479 0.632337
## Household_1_CA_1.l9 0.0154686 0.0163099 0.948 0.343048
## Household_2_CA_1.l9 0.0240258 0.0280500 0.857 0.391818
## Foods_1_CA_1.l9 -0.0299668 0.0191729 -1.563 0.118237
## Foods_2_CA_1.l9 0.0115894 0.0115362 1.005 0.315221
## Foods_3_CA_1.l9 -0.0034671 0.0038029 -0.912 0.362053
## Hobbies_CA_1.l10 0.0139446 0.0070759 1.971 0.048913 *
## Household_1_CA_1.l10 0.0068541 0.0162881 0.421 0.673950
## Household_2_CA_1.l10 0.0317029 0.0280332 1.131 0.258249
## Foods_1_CA_1.l10 -0.0324125 0.0191961 -1.688 0.091492 .
## Foods_2_CA_1.l10 -0.0169440 0.0115489 -1.467 0.142514
## Foods_3_CA_1.l10 0.0048593 0.0038179 1.273 0.203266
## Hobbies_CA_1.l11 0.0011904 0.0070751 0.168 0.866404
## Household_1_CA_1.l11 0.0174857 0.0162435 1.076 0.281864
## Household_2_CA_1.l11 -0.0102985 0.0280557 -0.367 0.713608
## Foods_1_CA_1.l11 -0.0034255 0.0192235 -0.178 0.858592
## Foods_2_CA_1.l11 -0.0026459 0.0115599 -0.229 0.818983
## Foods_3_CA_1.l11 0.0028942 0.0038177 0.758 0.448480
## Hobbies_CA_1.l12 -0.0020646 0.0070781 -0.292 0.770555
## Household_1_CA_1.l12 -0.0040901 0.0162753 -0.251 0.801608
## Household_2_CA_1.l12 -0.0005838 0.0280109 -0.021 0.983374
## Foods_1_CA_1.l12 0.0382783 0.0192328 1.990 0.046715 *
## Foods_2_CA_1.l12 0.0083005 0.0115694 0.717 0.473193
## Foods_3_CA_1.l12 -0.0025799 0.0038158 -0.676 0.499061
## Hobbies_CA_1.l13 -0.0123669 0.0070637 -1.751 0.080159 .
## Household_1_CA_1.l13 0.0031436 0.0162584 0.193 0.846705
## Household_2_CA_1.l13 0.0578332 0.0279283 2.071 0.038525 *
## Foods_1_CA_1.l13 0.0296627 0.0192709 1.539 0.123922
## Foods_2_CA_1.l13 -0.0309191 0.0115897 -2.668 0.007705 **
## Foods_3_CA_1.l13 0.0052349 0.0038217 1.370 0.170928
## Hobbies_CA_1.l14 -0.0031564 0.0070534 -0.448 0.654562
## Household_1_CA_1.l14 0.0686461 0.0163034 4.211 2.68e-05 ***
## Household_2_CA_1.l14 0.0491711 0.0279038 1.762 0.078214 .
## Foods_1_CA_1.l14 -0.0013674 0.0192901 -0.071 0.943495
## Foods_2_CA_1.l14 0.0258577 0.0116085 2.227 0.026040 *
## Foods_3_CA_1.l14 -0.0035023 0.0038069 -0.920 0.357706
## Hobbies_CA_1.l15 0.0072458 0.0070617 1.026 0.304996
## Household_1_CA_1.l15 -0.0545690 0.0164029 -3.327 0.000896 ***
## Household_2_CA_1.l15 0.0031254 0.0278103 0.112 0.910532
## Foods_1_CA_1.l15 -0.0134959 0.0192912 -0.700 0.484276
## Foods_2_CA_1.l15 0.0236708 0.0115757 2.045 0.041015 *
## Foods_3_CA_1.l15 -0.0014014 0.0037935 -0.369 0.711863
## Hobbies_CA_1.l16 -0.0048483 0.0070721 -0.686 0.493084
## Household_1_CA_1.l16 -0.0053081 0.0164263 -0.323 0.746624
## Household_2_CA_1.l16 0.0004360 0.0277556 0.016 0.987469
## Foods_1_CA_1.l16 -0.0155337 0.0192933 -0.805 0.420850
## Foods_2_CA_1.l16 -0.0306528 0.0115822 -2.647 0.008204 **
## Foods_3_CA_1.l16 0.0073810 0.0037893 1.948 0.051593 .
## Hobbies_CA_1.l17 -0.0053570 0.0070610 -0.759 0.448147
## Household_1_CA_1.l17 0.0387600 0.0164355 2.358 0.018467 *
## Household_2_CA_1.l17 0.0231876 0.0277521 0.836 0.403535
## Foods_1_CA_1.l17 -0.0286401 0.0193093 -1.483 0.138193
## Foods_2_CA_1.l17 0.0161956 0.0115861 1.398 0.162334
## Foods_3_CA_1.l17 -0.0072864 0.0037900 -1.923 0.054701 .
## Hobbies_CA_1.l18 -0.0009082 0.0070530 -0.129 0.897557
## Household_1_CA_1.l18 0.0122747 0.0164769 0.745 0.456392
## Household_2_CA_1.l18 0.0189683 0.0277203 0.684 0.493892
## Foods_1_CA_1.l18 0.0026933 0.0193148 0.139 0.889117
## Foods_2_CA_1.l18 -0.0054441 0.0115875 -0.470 0.638542
## Foods_3_CA_1.l18 0.0023476 0.0037887 0.620 0.535591
## Hobbies_CA_1.l19 0.0019455 0.0070614 0.276 0.782954
## Household_1_CA_1.l19 0.0158490 0.0164736 0.962 0.336138
## Household_2_CA_1.l19 0.0171111 0.0277691 0.616 0.537847
## Foods_1_CA_1.l19 -0.0061406 0.0192914 -0.318 0.750291
## Foods_2_CA_1.l19 0.0048287 0.0115959 0.416 0.677155
## Foods_3_CA_1.l19 -0.0082913 0.0037975 -2.183 0.029143 *
## Hobbies_CA_1.l20 0.0029849 0.0070677 0.422 0.672841
## Household_1_CA_1.l20 0.0184444 0.0164948 1.118 0.263635
## Household_2_CA_1.l20 0.0470140 0.0277580 1.694 0.090496 .
## Foods_1_CA_1.l20 -0.0230601 0.0192454 -1.198 0.230993
## Foods_2_CA_1.l20 -0.0043161 0.0116044 -0.372 0.709984
## Foods_3_CA_1.l20 -0.0016056 0.0037982 -0.423 0.672550
## Hobbies_CA_1.l21 -0.0112417 0.0070537 -1.594 0.111175
## Household_1_CA_1.l21 0.0059605 0.0164891 0.361 0.717782
## Household_2_CA_1.l21 0.0762934 0.0278169 2.743 0.006155 **
## Foods_1_CA_1.l21 0.0065434 0.0192530 0.340 0.734001
## Foods_2_CA_1.l21 -0.0082086 0.0116092 -0.707 0.479612
## Foods_3_CA_1.l21 0.0034639 0.0037923 0.913 0.361152
## Hobbies_CA_1.l22 -0.0048464 0.0070334 -0.689 0.490874
## Household_1_CA_1.l22 -0.0219818 0.0166214 -1.322 0.186174
## Household_2_CA_1.l22 0.0158033 0.0276799 0.571 0.568119
## Foods_1_CA_1.l22 0.0168537 0.0192632 0.875 0.381738
## Foods_2_CA_1.l22 0.0125503 0.0115751 1.084 0.278404
## Foods_3_CA_1.l22 -0.0011336 0.0037715 -0.301 0.763785
## Hobbies_CA_1.l23 -0.0111062 0.0070267 -1.581 0.114154
## Household_1_CA_1.l23 -0.0094090 0.0165981 -0.567 0.570872
## Household_2_CA_1.l23 0.0014728 0.0275542 0.053 0.957378
## Foods_1_CA_1.l23 0.0081347 0.0192947 0.422 0.673368
## Foods_2_CA_1.l23 0.0025100 0.0115531 0.217 0.828032
## Foods_3_CA_1.l23 -0.0008740 0.0037604 -0.232 0.816226
## Hobbies_CA_1.l24 -0.0062168 0.0070280 -0.885 0.376502
## Household_1_CA_1.l24 -0.0294581 0.0164909 -1.786 0.074217 .
## Household_2_CA_1.l24 -0.0206051 0.0275269 -0.749 0.454231
## Foods_1_CA_1.l24 0.0214148 0.0193410 1.107 0.268347
## Foods_2_CA_1.l24 -0.0173614 0.0115363 -1.505 0.132519
## Foods_3_CA_1.l24 0.0083345 0.0037637 2.214 0.026924 *
## Hobbies_CA_1.l25 0.0036206 0.0070349 0.515 0.606854
## Household_1_CA_1.l25 -0.0437706 0.0164824 -2.656 0.007988 **
## Household_2_CA_1.l25 -0.0014639 0.0274408 -0.053 0.957460
## Foods_1_CA_1.l25 -0.0115736 0.0193233 -0.599 0.549287
## Foods_2_CA_1.l25 -0.0140031 0.0115205 -1.215 0.224340
## Foods_3_CA_1.l25 0.0023554 0.0037682 0.625 0.531996
## Hobbies_CA_1.l26 -0.0019313 0.0070343 -0.275 0.783689
## Household_1_CA_1.l26 0.0027597 0.0165123 0.167 0.867285
## Household_2_CA_1.l26 0.0074658 0.0273994 0.272 0.785286
## Foods_1_CA_1.l26 -0.0029161 0.0191855 -0.152 0.879207
## Foods_2_CA_1.l26 0.0099128 0.0115196 0.861 0.389619
## Foods_3_CA_1.l26 -0.0011268 0.0037677 -0.299 0.764918
## Hobbies_CA_1.l27 0.0123684 0.0069890 1.770 0.076948 .
## Household_1_CA_1.l27 0.0165116 0.0164463 1.004 0.315532
## Household_2_CA_1.l27 -0.0334090 0.0273211 -1.223 0.221558
## Foods_1_CA_1.l27 -0.0059477 0.0190633 -0.312 0.755077
## Foods_2_CA_1.l27 -0.0087574 0.0114180 -0.767 0.443195
## Foods_3_CA_1.l27 0.0030939 0.0037379 0.828 0.407955
## Hobbies_CA_1.l28 0.0019754 0.0068653 0.288 0.773580
## Household_1_CA_1.l28 0.0134019 0.0159542 0.840 0.401008
## Household_2_CA_1.l28 0.0283285 0.0270096 1.049 0.294398
## Foods_1_CA_1.l28 0.0464430 0.0181806 2.555 0.010716 *
## Foods_2_CA_1.l28 0.0009426 0.0107403 0.088 0.930077
## Foods_3_CA_1.l28 0.0061911 0.0035256 1.756 0.079249 .
## const -1.8572724 5.7739860 -0.322 0.747747
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 16.54 on 1772 degrees of freedom
## Multiple R-Squared: 0.7587, Adjusted R-squared: 0.7358
## F-statistic: 33.16 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_1:
## =============================================
## Foods_1_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0213316 0.0104386 2.044 0.041147 *
## Household_1_CA_1.l1 0.0503427 0.0240124 2.097 0.036177 *
## Household_2_CA_1.l1 0.0285376 0.0409432 0.697 0.485891
## Foods_1_CA_1.l1 0.3475585 0.0270700 12.839 < 2e-16 ***
## Foods_2_CA_1.l1 -0.0155168 0.0158910 -0.976 0.328975
## Foods_3_CA_1.l1 -0.0093819 0.0052662 -1.782 0.075000 .
## Hobbies_CA_1.l2 -0.0093501 0.0105681 -0.885 0.376410
## Household_1_CA_1.l2 -0.0146887 0.0243924 -0.602 0.547130
## Household_2_CA_1.l2 -0.0585134 0.0413133 -1.416 0.156854
## Foods_1_CA_1.l2 0.1000465 0.0283904 3.524 0.000436 ***
## Foods_2_CA_1.l2 -0.0156750 0.0169739 -0.923 0.355886
## Foods_3_CA_1.l2 -0.0047788 0.0055602 -0.859 0.390199
## Hobbies_CA_1.l3 -0.0060770 0.0106036 -0.573 0.566645
## Household_1_CA_1.l3 -0.0109247 0.0244296 -0.447 0.654791
## Household_2_CA_1.l3 0.0056153 0.0414685 0.135 0.892302
## Foods_1_CA_1.l3 0.1000067 0.0285398 3.504 0.000470 ***
## Foods_2_CA_1.l3 0.0010005 0.0171047 0.058 0.953363
## Foods_3_CA_1.l3 0.0021437 0.0056189 0.382 0.702862
## Hobbies_CA_1.l4 0.0008281 0.0105992 0.078 0.937733
## Household_1_CA_1.l4 -0.0323543 0.0243981 -1.326 0.184977
## Household_2_CA_1.l4 -0.0675498 0.0414059 -1.631 0.102983
## Foods_1_CA_1.l4 0.0536315 0.0286415 1.873 0.061300 .
## Foods_2_CA_1.l4 -0.0243176 0.0171086 -1.421 0.155386
## Foods_3_CA_1.l4 0.0051441 0.0056133 0.916 0.359577
## Hobbies_CA_1.l5 0.0079600 0.0105751 0.753 0.451726
## Household_1_CA_1.l5 0.0088748 0.0243965 0.364 0.716071
## Household_2_CA_1.l5 -0.0204273 0.0415983 -0.491 0.623445
## Foods_1_CA_1.l5 0.0358095 0.0287118 1.247 0.212487
## Foods_2_CA_1.l5 0.0379395 0.0171656 2.210 0.027219 *
## Foods_3_CA_1.l5 -0.0110188 0.0056194 -1.961 0.050053 .
## Hobbies_CA_1.l6 -0.0235121 0.0105771 -2.223 0.026346 *
## Household_1_CA_1.l6 0.0070339 0.0244236 0.288 0.773385
## Household_2_CA_1.l6 0.0422468 0.0416287 1.015 0.310317
## Foods_1_CA_1.l6 0.0356889 0.0286896 1.244 0.213676
## Foods_2_CA_1.l6 -0.0083856 0.0172124 -0.487 0.626191
## Foods_3_CA_1.l6 0.0057919 0.0056440 1.026 0.304936
## Hobbies_CA_1.l7 0.0044777 0.0105900 0.423 0.672476
## Household_1_CA_1.l7 0.0427475 0.0245396 1.742 0.081685 .
## Household_2_CA_1.l7 0.0300831 0.0418395 0.719 0.472229
## Foods_1_CA_1.l7 -0.0148369 0.0286608 -0.518 0.604753
## Foods_2_CA_1.l7 0.0030052 0.0172095 0.175 0.861396
## Foods_3_CA_1.l7 0.0026053 0.0056652 0.460 0.645656
## Hobbies_CA_1.l8 -0.0143994 0.0105923 -1.359 0.174185
## Household_1_CA_1.l8 -0.0229293 0.0243912 -0.940 0.347313
## Household_2_CA_1.l8 0.0025422 0.0420301 0.060 0.951775
## Foods_1_CA_1.l8 0.0493545 0.0286715 1.721 0.085357 .
## Foods_2_CA_1.l8 0.0015356 0.0172681 0.089 0.929149
## Foods_3_CA_1.l8 0.0060240 0.0057051 1.056 0.291161
## Hobbies_CA_1.l9 0.0091318 0.0106125 0.860 0.389642
## Household_1_CA_1.l9 0.0279633 0.0243928 1.146 0.251795
## Household_2_CA_1.l9 -0.0388630 0.0419511 -0.926 0.354371
## Foods_1_CA_1.l9 -0.0509346 0.0286747 -1.776 0.075856 .
## Foods_2_CA_1.l9 0.0555580 0.0172534 3.220 0.001305 **
## Foods_3_CA_1.l9 -0.0194207 0.0056875 -3.415 0.000653 ***
## Hobbies_CA_1.l10 0.0110949 0.0105826 1.048 0.294592
## Household_1_CA_1.l10 -0.0183908 0.0243602 -0.755 0.450379
## Household_2_CA_1.l10 0.0151248 0.0419260 0.361 0.718329
## Foods_1_CA_1.l10 -0.0486630 0.0287093 -1.695 0.090247 .
## Foods_2_CA_1.l10 -0.0083888 0.0172724 -0.486 0.627258
## Foods_3_CA_1.l10 0.0057543 0.0057100 1.008 0.313708
## Hobbies_CA_1.l11 -0.0020912 0.0105815 -0.198 0.843357
## Household_1_CA_1.l11 0.0018902 0.0242936 0.078 0.937992
## Household_2_CA_1.l11 0.0144663 0.0419596 0.345 0.730311
## Foods_1_CA_1.l11 -0.0485347 0.0287504 -1.688 0.091560 .
## Foods_2_CA_1.l11 0.0255676 0.0172888 1.479 0.139358
## Foods_3_CA_1.l11 -0.0080839 0.0057096 -1.416 0.157000
## Hobbies_CA_1.l12 -0.0049527 0.0105859 -0.468 0.639942
## Household_1_CA_1.l12 -0.0151134 0.0243411 -0.621 0.534744
## Household_2_CA_1.l12 -0.0202356 0.0418926 -0.483 0.629131
## Foods_1_CA_1.l12 0.0434341 0.0287642 1.510 0.131220
## Foods_2_CA_1.l12 -0.0015495 0.0173030 -0.090 0.928653
## Foods_3_CA_1.l12 -0.0013461 0.0057068 -0.236 0.813552
## Hobbies_CA_1.l13 -0.0085536 0.0105644 -0.810 0.418243
## Household_1_CA_1.l13 0.0012613 0.0243158 0.052 0.958638
## Household_2_CA_1.l13 0.0053166 0.0417692 0.127 0.898729
## Foods_1_CA_1.l13 0.0464379 0.0288212 1.611 0.107306
## Foods_2_CA_1.l13 -0.0172219 0.0173334 -0.994 0.320570
## Foods_3_CA_1.l13 0.0010600 0.0057157 0.185 0.852894
## Hobbies_CA_1.l14 -0.0027064 0.0105489 -0.257 0.797546
## Household_1_CA_1.l14 0.0707751 0.0243832 2.903 0.003746 **
## Household_2_CA_1.l14 -0.0035866 0.0417325 -0.086 0.931522
## Foods_1_CA_1.l14 0.0378413 0.0288499 1.312 0.189805
## Foods_2_CA_1.l14 -0.0024152 0.0173615 -0.139 0.889377
## Foods_3_CA_1.l14 0.0011767 0.0056936 0.207 0.836284
## Hobbies_CA_1.l15 0.0014960 0.0105614 0.142 0.887370
## Household_1_CA_1.l15 -0.0172362 0.0245319 -0.703 0.482396
## Household_2_CA_1.l15 0.0005112 0.0415926 0.012 0.990195
## Foods_1_CA_1.l15 -0.0238991 0.0288517 -0.828 0.407587
## Foods_2_CA_1.l15 -0.0064317 0.0173124 -0.372 0.710303
## Foods_3_CA_1.l15 0.0007466 0.0056735 0.132 0.895325
## Hobbies_CA_1.l16 0.0127712 0.0105768 1.207 0.227413
## Household_1_CA_1.l16 -0.0436429 0.0245669 -1.776 0.075823 .
## Household_2_CA_1.l16 0.0537229 0.0415108 1.294 0.195768
## Foods_1_CA_1.l16 -0.0370611 0.0288547 -1.284 0.199167
## Foods_2_CA_1.l16 0.0111971 0.0173222 0.646 0.518100
## Foods_3_CA_1.l16 0.0012093 0.0056673 0.213 0.831049
## Hobbies_CA_1.l17 -0.0087110 0.0105602 -0.825 0.409545
## Household_1_CA_1.l17 0.0608005 0.0245807 2.474 0.013473 *
## Household_2_CA_1.l17 -0.0056438 0.0415056 -0.136 0.891856
## Foods_1_CA_1.l17 -0.0457871 0.0288787 -1.585 0.113032
## Foods_2_CA_1.l17 0.0048499 0.0173280 0.280 0.779596
## Foods_3_CA_1.l17 -0.0061222 0.0056683 -1.080 0.280255
## Hobbies_CA_1.l18 0.0006435 0.0105483 0.061 0.951360
## Household_1_CA_1.l18 -0.0036384 0.0246425 -0.148 0.882639
## Household_2_CA_1.l18 0.0443283 0.0414580 1.069 0.285111
## Foods_1_CA_1.l18 0.0060259 0.0288869 0.209 0.834782
## Foods_2_CA_1.l18 -0.0058200 0.0173301 -0.336 0.737038
## Foods_3_CA_1.l18 -0.0003387 0.0056664 -0.060 0.952337
## Hobbies_CA_1.l19 -0.0042537 0.0105609 -0.403 0.687163
## Household_1_CA_1.l19 0.0124291 0.0246376 0.504 0.613989
## Household_2_CA_1.l19 0.0161575 0.0415310 0.389 0.697288
## Foods_1_CA_1.l19 0.0226181 0.0288519 0.784 0.433182
## Foods_2_CA_1.l19 0.0036258 0.0173427 0.209 0.834420
## Foods_3_CA_1.l19 -0.0019116 0.0056795 -0.337 0.736475
## Hobbies_CA_1.l20 -0.0011135 0.0105704 -0.105 0.916117
## Household_1_CA_1.l20 0.0131939 0.0246694 0.535 0.592836
## Household_2_CA_1.l20 -0.0165868 0.0415144 -0.400 0.689541
## Foods_1_CA_1.l20 -0.0640948 0.0287830 -2.227 0.026084 *
## Foods_2_CA_1.l20 0.0021257 0.0173553 0.122 0.902531
## Foods_3_CA_1.l20 -0.0032121 0.0056806 -0.565 0.571832
## Hobbies_CA_1.l21 -0.0040268 0.0105494 -0.382 0.702722
## Household_1_CA_1.l21 0.0487290 0.0246608 1.976 0.048313 *
## Household_2_CA_1.l21 0.0514825 0.0416024 1.237 0.216070
## Foods_1_CA_1.l21 0.0152425 0.0287945 0.529 0.596626
## Foods_2_CA_1.l21 -0.0080629 0.0173625 -0.464 0.642427
## Foods_3_CA_1.l21 0.0006802 0.0056717 0.120 0.904547
## Hobbies_CA_1.l22 0.0154703 0.0105190 1.471 0.141550
## Household_1_CA_1.l22 -0.0156258 0.0248587 -0.629 0.529702
## Household_2_CA_1.l22 0.0595562 0.0413976 1.439 0.150429
## Foods_1_CA_1.l22 0.0141021 0.0288098 0.489 0.624556
## Foods_2_CA_1.l22 -0.0042550 0.0173116 -0.246 0.805875
## Foods_3_CA_1.l22 -0.0078579 0.0056406 -1.393 0.163765
## Hobbies_CA_1.l23 -0.0201036 0.0105090 -1.913 0.055909 .
## Household_1_CA_1.l23 -0.0048486 0.0248239 -0.195 0.845164
## Household_2_CA_1.l23 0.0300855 0.0412097 0.730 0.465450
## Foods_1_CA_1.l23 0.0074480 0.0288568 0.258 0.796359
## Foods_2_CA_1.l23 -0.0177428 0.0172786 -1.027 0.304623
## Foods_3_CA_1.l23 0.0122417 0.0056239 2.177 0.029633 *
## Hobbies_CA_1.l24 -0.0095389 0.0105109 -0.908 0.364254
## Household_1_CA_1.l24 -0.0245275 0.0246635 -0.994 0.320122
## Household_2_CA_1.l24 -0.0130827 0.0411688 -0.318 0.750688
## Foods_1_CA_1.l24 0.0097422 0.0289261 0.337 0.736310
## Foods_2_CA_1.l24 -0.0040660 0.0172536 -0.236 0.813721
## Foods_3_CA_1.l24 0.0023036 0.0056289 0.409 0.682413
## Hobbies_CA_1.l25 0.0194660 0.0105213 1.850 0.064458 .
## Household_1_CA_1.l25 -0.0265972 0.0246508 -1.079 0.280752
## Household_2_CA_1.l25 -0.0170559 0.0410400 -0.416 0.677758
## Foods_1_CA_1.l25 0.0138995 0.0288997 0.481 0.630607
## Foods_2_CA_1.l25 -0.0035309 0.0172299 -0.205 0.837653
## Foods_3_CA_1.l25 0.0018470 0.0056357 0.328 0.743156
## Hobbies_CA_1.l26 -0.0035732 0.0105205 -0.340 0.734162
## Household_1_CA_1.l26 -0.0126343 0.0246956 -0.512 0.608992
## Household_2_CA_1.l26 0.0190312 0.0409782 0.464 0.642401
## Foods_1_CA_1.l26 0.0370213 0.0286935 1.290 0.197138
## Foods_2_CA_1.l26 -0.0044257 0.0172285 -0.257 0.797298
## Foods_3_CA_1.l26 0.0008277 0.0056349 0.147 0.883235
## Hobbies_CA_1.l27 0.0025268 0.0104526 0.242 0.809010
## Household_1_CA_1.l27 -0.0188671 0.0245969 -0.767 0.443153
## Household_2_CA_1.l27 -0.0325672 0.0408610 -0.797 0.425544
## Foods_1_CA_1.l27 0.0815252 0.0285107 2.859 0.004293 **
## Foods_2_CA_1.l27 0.0036106 0.0170766 0.211 0.832573
## Foods_3_CA_1.l27 0.0004589 0.0055904 0.082 0.934587
## Hobbies_CA_1.l28 -0.0096550 0.0102677 -0.940 0.347176
## Household_1_CA_1.l28 -0.0309628 0.0238608 -1.298 0.194580
## Household_2_CA_1.l28 0.0098118 0.0403951 0.243 0.808115
## Foods_1_CA_1.l28 0.0971543 0.0271907 3.573 0.000362 ***
## Foods_2_CA_1.l28 -0.0033205 0.0160630 -0.207 0.836253
## Foods_3_CA_1.l28 0.0135305 0.0052728 2.566 0.010366 *
## const 29.5575252 8.6354775 3.423 0.000634 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 24.73 on 1772 degrees of freedom
## Multiple R-Squared: 0.6464, Adjusted R-squared: 0.6129
## F-statistic: 19.28 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_1:
## =============================================
## Foods_2_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0292781 0.0230805 1.269 0.20478
## Household_1_CA_1.l1 -0.0519948 0.0530933 -0.979 0.32756
## Household_2_CA_1.l1 0.1363240 0.0905286 1.506 0.13228
## Foods_1_CA_1.l1 0.1233838 0.0598539 2.061 0.03941 *
## Foods_2_CA_1.l1 0.4247310 0.0351363 12.088 < 2e-16 ***
## Foods_3_CA_1.l1 -0.0173268 0.0116440 -1.488 0.13692
## Hobbies_CA_1.l2 -0.0050634 0.0233668 -0.217 0.82847
## Household_1_CA_1.l2 0.0290318 0.0539335 0.538 0.59044
## Household_2_CA_1.l2 -0.1699929 0.0913469 -1.861 0.06292 .
## Foods_1_CA_1.l2 0.0124341 0.0627734 0.198 0.84301
## Foods_2_CA_1.l2 0.1487869 0.0375306 3.964 7.65e-05 ***
## Foods_3_CA_1.l2 -0.0277169 0.0122940 -2.254 0.02429 *
## Hobbies_CA_1.l3 -0.0192658 0.0234454 -0.822 0.41134
## Household_1_CA_1.l3 0.0459128 0.0540158 0.850 0.39545
## Household_2_CA_1.l3 0.2489132 0.0916901 2.715 0.00670 **
## Foods_1_CA_1.l3 0.0123675 0.0631036 0.196 0.84464
## Foods_2_CA_1.l3 0.0743702 0.0378198 1.966 0.04940 *
## Foods_3_CA_1.l3 -0.0143944 0.0124238 -1.159 0.24677
## Hobbies_CA_1.l4 -0.0138424 0.0234357 -0.591 0.55483
## Household_1_CA_1.l4 -0.0330789 0.0539460 -0.613 0.53983
## Household_2_CA_1.l4 -0.0815395 0.0915518 -0.891 0.37324
## Foods_1_CA_1.l4 0.0039498 0.0633286 0.062 0.95028
## Foods_2_CA_1.l4 0.0455340 0.0378285 1.204 0.22887
## Foods_3_CA_1.l4 0.0165554 0.0124114 1.334 0.18241
## Hobbies_CA_1.l5 -0.0286025 0.0233824 -1.223 0.22140
## Household_1_CA_1.l5 -0.0390445 0.0539426 -0.724 0.46927
## Household_2_CA_1.l5 -0.0710720 0.0919771 -0.773 0.43979
## Foods_1_CA_1.l5 0.0271105 0.0634840 0.427 0.66940
## Foods_2_CA_1.l5 0.0968294 0.0379545 2.551 0.01082 *
## Foods_3_CA_1.l5 -0.0136590 0.0124250 -1.099 0.27178
## Hobbies_CA_1.l6 -0.0047236 0.0233868 -0.202 0.83996
## Household_1_CA_1.l6 0.0373959 0.0540025 0.692 0.48872
## Household_2_CA_1.l6 0.1538069 0.0920443 1.671 0.09490 .
## Foods_1_CA_1.l6 -0.0255345 0.0634348 -0.403 0.68734
## Foods_2_CA_1.l6 0.0404879 0.0380580 1.064 0.28754
## Foods_3_CA_1.l6 -0.0149796 0.0124794 -1.200 0.23017
## Hobbies_CA_1.l7 -0.0082236 0.0234154 -0.351 0.72548
## Household_1_CA_1.l7 0.0838954 0.0542590 1.546 0.12223
## Household_2_CA_1.l7 -0.0065568 0.0925105 -0.071 0.94350
## Foods_1_CA_1.l7 -0.1417501 0.0633713 -2.237 0.02542 *
## Foods_2_CA_1.l7 0.1098689 0.0380516 2.887 0.00393 **
## Foods_3_CA_1.l7 0.0305465 0.0125262 2.439 0.01484 *
## Hobbies_CA_1.l8 0.0013157 0.0234204 0.056 0.95521
## Household_1_CA_1.l8 -0.0599844 0.0539308 -1.112 0.26618
## Household_2_CA_1.l8 -0.0097919 0.0929318 -0.105 0.91610
## Foods_1_CA_1.l8 0.0211200 0.0633950 0.333 0.73906
## Foods_2_CA_1.l8 -0.0346112 0.0381812 -0.906 0.36480
## Foods_3_CA_1.l8 0.0109357 0.0126144 0.867 0.38610
## Hobbies_CA_1.l9 0.0266138 0.0234651 1.134 0.25687
## Household_1_CA_1.l9 0.0139838 0.0539345 0.259 0.79545
## Household_2_CA_1.l9 -0.0354091 0.0927571 -0.382 0.70270
## Foods_1_CA_1.l9 -0.0495291 0.0634020 -0.781 0.43479
## Foods_2_CA_1.l9 0.0346534 0.0381485 0.908 0.36380
## Foods_3_CA_1.l9 -0.0234004 0.0125756 -1.861 0.06294 .
## Hobbies_CA_1.l10 0.0244116 0.0233990 1.043 0.29696
## Household_1_CA_1.l10 0.0406265 0.0538624 0.754 0.45079
## Household_2_CA_1.l10 -0.0057230 0.0927017 -0.062 0.95078
## Foods_1_CA_1.l10 -0.0105722 0.0634785 -0.167 0.86775
## Foods_2_CA_1.l10 -0.0361911 0.0381906 -0.948 0.34344
## Foods_3_CA_1.l10 -0.0014507 0.0126252 -0.115 0.90853
## Hobbies_CA_1.l11 -0.0034830 0.0233964 -0.149 0.88167
## Household_1_CA_1.l11 -0.0960372 0.0537150 -1.788 0.07396 .
## Household_2_CA_1.l11 0.0921956 0.0927760 0.994 0.32048
## Foods_1_CA_1.l11 0.0309555 0.0635694 0.487 0.62635
## Foods_2_CA_1.l11 -0.0013537 0.0382270 -0.035 0.97176
## Foods_3_CA_1.l11 0.0044013 0.0126244 0.349 0.72741
## Hobbies_CA_1.l12 0.0029043 0.0234063 0.124 0.90127
## Household_1_CA_1.l12 -0.0346930 0.0538200 -0.645 0.51926
## Household_2_CA_1.l12 0.0318572 0.0926278 0.344 0.73094
## Foods_1_CA_1.l12 -0.0212322 0.0635999 -0.334 0.73854
## Foods_2_CA_1.l12 -0.0769723 0.0382584 -2.012 0.04438 *
## Foods_3_CA_1.l12 0.0060154 0.0126182 0.477 0.63362
## Hobbies_CA_1.l13 -0.0464710 0.0233586 -1.989 0.04680 *
## Household_1_CA_1.l13 -0.0163804 0.0537642 -0.305 0.76065
## Household_2_CA_1.l13 0.0298580 0.0923549 0.323 0.74651
## Foods_1_CA_1.l13 -0.0039143 0.0637260 -0.061 0.95103
## Foods_2_CA_1.l13 -0.0054547 0.0383255 -0.142 0.88684
## Foods_3_CA_1.l13 0.0204648 0.0126378 1.619 0.10555
## Hobbies_CA_1.l14 0.0378871 0.0233244 1.624 0.10448
## Household_1_CA_1.l14 0.0622208 0.0539130 1.154 0.24862
## Household_2_CA_1.l14 -0.0346944 0.0922739 -0.376 0.70697
## Foods_1_CA_1.l14 0.0288422 0.0637895 0.452 0.65122
## Foods_2_CA_1.l14 0.1196707 0.0383877 3.117 0.00185 **
## Foods_3_CA_1.l14 -0.0128379 0.0125889 -1.020 0.30797
## Hobbies_CA_1.l15 -0.0351541 0.0233520 -1.505 0.13240
## Household_1_CA_1.l15 -0.0576112 0.0542419 -1.062 0.28833
## Household_2_CA_1.l15 -0.0542222 0.0919645 -0.590 0.55553
## Foods_1_CA_1.l15 0.0727877 0.0637933 1.141 0.25403
## Foods_2_CA_1.l15 0.0064312 0.0382791 0.168 0.86659
## Foods_3_CA_1.l15 -0.0105547 0.0125445 -0.841 0.40025
## Hobbies_CA_1.l16 -0.0161796 0.0233862 -0.692 0.48913
## Household_1_CA_1.l16 0.0121262 0.0543193 0.223 0.82338
## Household_2_CA_1.l16 -0.0348335 0.0917836 -0.380 0.70435
## Foods_1_CA_1.l16 -0.0984840 0.0637999 -1.544 0.12285
## Foods_2_CA_1.l16 -0.0343382 0.0383006 -0.897 0.37008
## Foods_3_CA_1.l16 0.0164656 0.0125308 1.314 0.18901
## Hobbies_CA_1.l17 -0.0106522 0.0233495 -0.456 0.64830
## Household_1_CA_1.l17 0.0756088 0.0543499 1.391 0.16435
## Household_2_CA_1.l17 0.0390109 0.0917721 0.425 0.67083
## Foods_1_CA_1.l17 -0.0104505 0.0638531 -0.164 0.87001
## Foods_2_CA_1.l17 0.0186211 0.0383136 0.486 0.62701
## Foods_3_CA_1.l17 -0.0121035 0.0125330 -0.966 0.33431
## Hobbies_CA_1.l18 0.0367975 0.0233232 1.578 0.11481
## Household_1_CA_1.l18 -0.0147543 0.0544865 -0.271 0.78659
## Household_2_CA_1.l18 0.0543950 0.0916669 0.593 0.55299
## Foods_1_CA_1.l18 -0.0007943 0.0638713 -0.012 0.99008
## Foods_2_CA_1.l18 0.0050276 0.0383183 0.131 0.89563
## Foods_3_CA_1.l18 -0.0108620 0.0125288 -0.867 0.38608
## Hobbies_CA_1.l19 0.0284247 0.0233509 1.217 0.22366
## Household_1_CA_1.l19 0.1195978 0.0544756 2.195 0.02826 *
## Household_2_CA_1.l19 0.0295388 0.0918283 0.322 0.74774
## Foods_1_CA_1.l19 -0.1264572 0.0637938 -1.982 0.04760 *
## Foods_2_CA_1.l19 -0.0109755 0.0383460 -0.286 0.77474
## Foods_3_CA_1.l19 0.0028396 0.0125579 0.226 0.82114
## Hobbies_CA_1.l20 0.0179391 0.0233719 0.768 0.44286
## Household_1_CA_1.l20 0.0152476 0.0545460 0.280 0.77987
## Household_2_CA_1.l20 -0.2296813 0.0917915 -2.502 0.01243 *
## Foods_1_CA_1.l20 0.0077522 0.0636415 0.122 0.90306
## Foods_2_CA_1.l20 -0.0354839 0.0383740 -0.925 0.35526
## Foods_3_CA_1.l20 0.0183647 0.0125602 1.462 0.14388
## Hobbies_CA_1.l21 -0.0267452 0.0233256 -1.147 0.25170
## Household_1_CA_1.l21 0.0108444 0.0545270 0.199 0.84238
## Household_2_CA_1.l21 -0.0874208 0.0919862 -0.950 0.34205
## Foods_1_CA_1.l21 -0.0474353 0.0636669 -0.745 0.45634
## Foods_2_CA_1.l21 0.0284529 0.0383898 0.741 0.45870
## Foods_3_CA_1.l21 0.0310234 0.0125406 2.474 0.01346 *
## Hobbies_CA_1.l22 -0.0354296 0.0232584 -1.523 0.12786
## Household_1_CA_1.l22 -0.1510833 0.0549645 -2.749 0.00604 **
## Household_2_CA_1.l22 0.1998443 0.0915333 2.183 0.02914 *
## Foods_1_CA_1.l22 0.0797834 0.0637006 1.252 0.21056
## Foods_2_CA_1.l22 0.0719555 0.0382773 1.880 0.06029 .
## Foods_3_CA_1.l22 -0.0188012 0.0124719 -1.507 0.13186
## Hobbies_CA_1.l23 0.0070948 0.0232362 0.305 0.76015
## Household_1_CA_1.l23 0.0017872 0.0548875 0.033 0.97403
## Household_2_CA_1.l23 -0.1323095 0.0911178 -1.452 0.14666
## Foods_1_CA_1.l23 0.0220318 0.0638047 0.345 0.72991
## Foods_2_CA_1.l23 -0.0605698 0.0382043 -1.585 0.11305
## Foods_3_CA_1.l23 0.0125311 0.0124349 1.008 0.31372
## Hobbies_CA_1.l24 -0.0453157 0.0232405 -1.950 0.05135 .
## Household_1_CA_1.l24 -0.0660447 0.0545328 -1.211 0.22602
## Household_2_CA_1.l24 0.0037585 0.0910273 0.041 0.96707
## Foods_1_CA_1.l24 0.0268709 0.0639578 0.420 0.67444
## Foods_2_CA_1.l24 -0.0032300 0.0381490 -0.085 0.93254
## Foods_3_CA_1.l24 0.0035344 0.0124459 0.284 0.77646
## Hobbies_CA_1.l25 0.0310487 0.0232634 1.335 0.18216
## Household_1_CA_1.l25 -0.0340479 0.0545047 -0.625 0.53226
## Household_2_CA_1.l25 0.0296984 0.0907425 0.327 0.74349
## Foods_1_CA_1.l25 0.0031375 0.0638994 0.049 0.96084
## Foods_2_CA_1.l25 -0.0015809 0.0380966 -0.041 0.96690
## Foods_3_CA_1.l25 -0.0120570 0.0124609 -0.968 0.33338
## Hobbies_CA_1.l26 -0.0191073 0.0232615 -0.821 0.41152
## Household_1_CA_1.l26 0.0480229 0.0546038 0.879 0.37926
## Household_2_CA_1.l26 -0.1133873 0.0906059 -1.251 0.21094
## Foods_1_CA_1.l26 0.0539727 0.0634436 0.851 0.39504
## Foods_2_CA_1.l26 -0.0180117 0.0380935 -0.473 0.63639
## Foods_3_CA_1.l26 0.0044304 0.0124593 0.356 0.72219
## Hobbies_CA_1.l27 0.0381378 0.0231115 1.650 0.09909 .
## Household_1_CA_1.l27 -0.0359887 0.0543856 -0.662 0.50823
## Household_2_CA_1.l27 0.0847774 0.0903468 0.938 0.34819
## Foods_1_CA_1.l27 0.0200599 0.0630394 0.318 0.75036
## Foods_2_CA_1.l27 -0.0536532 0.0377576 -1.421 0.15550
## Foods_3_CA_1.l27 0.0129499 0.0123608 1.048 0.29494
## Hobbies_CA_1.l28 -0.0113188 0.0227026 -0.499 0.61815
## Household_1_CA_1.l28 0.0675316 0.0527582 1.280 0.20070
## Household_2_CA_1.l28 0.1586040 0.0893166 1.776 0.07595 .
## Foods_1_CA_1.l28 0.0091734 0.0601206 0.153 0.87874
## Foods_2_CA_1.l28 0.0531252 0.0355164 1.496 0.13489
## Foods_3_CA_1.l28 0.0030563 0.0116585 0.262 0.79323
## const 16.4098162 19.0937137 0.859 0.39022
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 54.69 on 1772 degrees of freedom
## Multiple R-Squared: 0.7356, Adjusted R-squared: 0.7105
## F-statistic: 29.34 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_1:
## =============================================
## Foods_3_CA_1 = Hobbies_CA_1.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Hobbies_CA_1.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Hobbies_CA_1.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Hobbies_CA_1.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Hobbies_CA_1.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Hobbies_CA_1.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Hobbies_CA_1.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Hobbies_CA_1.l8 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Hobbies_CA_1.l9 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Hobbies_CA_1.l10 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Hobbies_CA_1.l11 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Hobbies_CA_1.l12 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Hobbies_CA_1.l13 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Hobbies_CA_1.l14 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Hobbies_CA_1.l15 + Household_1_CA_1.l15 + Household_2_CA_1.l15 + Foods_1_CA_1.l15 + Foods_2_CA_1.l15 + Foods_3_CA_1.l15 + Hobbies_CA_1.l16 + Household_1_CA_1.l16 + Household_2_CA_1.l16 + Foods_1_CA_1.l16 + Foods_2_CA_1.l16 + Foods_3_CA_1.l16 + Hobbies_CA_1.l17 + Household_1_CA_1.l17 + Household_2_CA_1.l17 + Foods_1_CA_1.l17 + Foods_2_CA_1.l17 + Foods_3_CA_1.l17 + Hobbies_CA_1.l18 + Household_1_CA_1.l18 + Household_2_CA_1.l18 + Foods_1_CA_1.l18 + Foods_2_CA_1.l18 + Foods_3_CA_1.l18 + Hobbies_CA_1.l19 + Household_1_CA_1.l19 + Household_2_CA_1.l19 + Foods_1_CA_1.l19 + Foods_2_CA_1.l19 + Foods_3_CA_1.l19 + Hobbies_CA_1.l20 + Household_1_CA_1.l20 + Household_2_CA_1.l20 + Foods_1_CA_1.l20 + Foods_2_CA_1.l20 + Foods_3_CA_1.l20 + Hobbies_CA_1.l21 + Household_1_CA_1.l21 + Household_2_CA_1.l21 + Foods_1_CA_1.l21 + Foods_2_CA_1.l21 + Foods_3_CA_1.l21 + Hobbies_CA_1.l22 + Household_1_CA_1.l22 + Household_2_CA_1.l22 + Foods_1_CA_1.l22 + Foods_2_CA_1.l22 + Foods_3_CA_1.l22 + Hobbies_CA_1.l23 + Household_1_CA_1.l23 + Household_2_CA_1.l23 + Foods_1_CA_1.l23 + Foods_2_CA_1.l23 + Foods_3_CA_1.l23 + Hobbies_CA_1.l24 + Household_1_CA_1.l24 + Household_2_CA_1.l24 + Foods_1_CA_1.l24 + Foods_2_CA_1.l24 + Foods_3_CA_1.l24 + Hobbies_CA_1.l25 + Household_1_CA_1.l25 + Household_2_CA_1.l25 + Foods_1_CA_1.l25 + Foods_2_CA_1.l25 + Foods_3_CA_1.l25 + Hobbies_CA_1.l26 + Household_1_CA_1.l26 + Household_2_CA_1.l26 + Foods_1_CA_1.l26 + Foods_2_CA_1.l26 + Foods_3_CA_1.l26 + Hobbies_CA_1.l27 + Household_1_CA_1.l27 + Household_2_CA_1.l27 + Foods_1_CA_1.l27 + Foods_2_CA_1.l27 + Foods_3_CA_1.l27 + Hobbies_CA_1.l28 + Household_1_CA_1.l28 + Household_2_CA_1.l28 + Foods_1_CA_1.l28 + Foods_2_CA_1.l28 + Foods_3_CA_1.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.080122 0.081564 0.982 0.326074
## Household_1_CA_1.l1 -0.033016 0.187626 -0.176 0.860340
## Household_2_CA_1.l1 0.875074 0.319919 2.735 0.006294 **
## Foods_1_CA_1.l1 0.476870 0.211518 2.255 0.024285 *
## Foods_2_CA_1.l1 0.218090 0.124168 1.756 0.079191 .
## Foods_3_CA_1.l1 0.260146 0.041149 6.322 3.26e-10 ***
## Hobbies_CA_1.l2 -0.051991 0.082576 -0.630 0.529032
## Household_1_CA_1.l2 0.153289 0.190595 0.804 0.421354
## Household_2_CA_1.l2 -0.843700 0.322811 -2.614 0.009035 **
## Foods_1_CA_1.l2 -0.055950 0.221835 -0.252 0.800904
## Foods_2_CA_1.l2 0.051985 0.132629 0.392 0.695140
## Foods_3_CA_1.l2 0.026334 0.043446 0.606 0.544510
## Hobbies_CA_1.l3 -0.095248 0.082854 -1.150 0.250469
## Household_1_CA_1.l3 0.029680 0.190886 0.155 0.876454
## Household_2_CA_1.l3 0.798912 0.324023 2.466 0.013773 *
## Foods_1_CA_1.l3 0.097274 0.223002 0.436 0.662744
## Foods_2_CA_1.l3 0.112844 0.133651 0.844 0.398606
## Foods_3_CA_1.l3 -0.004769 0.043904 -0.109 0.913522
## Hobbies_CA_1.l4 0.007998 0.082819 0.097 0.923077
## Household_1_CA_1.l4 -0.331237 0.190640 -1.738 0.082472 .
## Household_2_CA_1.l4 -0.496773 0.323535 -1.535 0.124851
## Foods_1_CA_1.l4 -0.111401 0.223797 -0.498 0.618704
## Foods_2_CA_1.l4 -0.147318 0.133682 -1.102 0.270610
## Foods_3_CA_1.l4 0.131696 0.043861 3.003 0.002714 **
## Hobbies_CA_1.l5 0.026697 0.082631 0.323 0.746666
## Household_1_CA_1.l5 0.038726 0.190628 0.203 0.839040
## Household_2_CA_1.l5 -0.310535 0.325038 -0.955 0.339516
## Foods_1_CA_1.l5 0.179514 0.224346 0.800 0.423723
## Foods_2_CA_1.l5 0.336178 0.134127 2.506 0.012286 *
## Foods_3_CA_1.l5 -0.088920 0.043909 -2.025 0.043005 *
## Hobbies_CA_1.l6 -0.147346 0.082647 -1.783 0.074782 .
## Household_1_CA_1.l6 -0.121294 0.190839 -0.636 0.525131
## Household_2_CA_1.l6 0.417240 0.325275 1.283 0.199755
## Foods_1_CA_1.l6 0.069805 0.224172 0.311 0.755541
## Foods_2_CA_1.l6 -0.157981 0.134493 -1.175 0.240296
## Foods_3_CA_1.l6 0.064082 0.044101 1.453 0.146380
## Hobbies_CA_1.l7 -0.036041 0.082747 -0.436 0.663217
## Household_1_CA_1.l7 0.406517 0.191746 2.120 0.034138 *
## Household_2_CA_1.l7 0.127913 0.326923 0.391 0.695649
## Foods_1_CA_1.l7 -0.562763 0.223948 -2.513 0.012062 *
## Foods_2_CA_1.l7 0.047659 0.134470 0.354 0.723068
## Foods_3_CA_1.l7 0.205923 0.044266 4.652 3.53e-06 ***
## Hobbies_CA_1.l8 0.092342 0.082765 1.116 0.264696
## Household_1_CA_1.l8 -0.149961 0.190586 -0.787 0.431480
## Household_2_CA_1.l8 -0.227158 0.328412 -0.692 0.489225
## Foods_1_CA_1.l8 0.052013 0.224031 0.232 0.816433
## Foods_2_CA_1.l8 -0.042666 0.134928 -0.316 0.751880
## Foods_3_CA_1.l8 0.023195 0.044578 0.520 0.602906
## Hobbies_CA_1.l9 0.114990 0.082923 1.387 0.165706
## Household_1_CA_1.l9 0.033450 0.190599 0.175 0.860709
## Household_2_CA_1.l9 -0.019179 0.327794 -0.059 0.953350
## Foods_1_CA_1.l9 -0.340798 0.224056 -1.521 0.128429
## Foods_2_CA_1.l9 0.222365 0.134813 1.649 0.099236 .
## Foods_3_CA_1.l9 -0.120792 0.044441 -2.718 0.006631 **
## Hobbies_CA_1.l10 0.125474 0.082690 1.517 0.129341
## Household_1_CA_1.l10 0.108154 0.190344 0.568 0.569971
## Household_2_CA_1.l10 0.174790 0.327598 0.534 0.593719
## Foods_1_CA_1.l10 -0.195027 0.224327 -0.869 0.384752
## Foods_2_CA_1.l10 -0.231431 0.134962 -1.715 0.086558 .
## Foods_3_CA_1.l10 0.027868 0.044616 0.625 0.532306
## Hobbies_CA_1.l11 -0.029762 0.082681 -0.360 0.718919
## Household_1_CA_1.l11 -0.236987 0.189823 -1.248 0.212027
## Household_2_CA_1.l11 0.052034 0.327861 0.159 0.873916
## Foods_1_CA_1.l11 0.152804 0.224648 0.680 0.496470
## Foods_2_CA_1.l11 0.077574 0.135090 0.574 0.565879
## Foods_3_CA_1.l11 -0.045745 0.044613 -1.025 0.305334
## Hobbies_CA_1.l12 -0.060164 0.082715 -0.727 0.467104
## Household_1_CA_1.l12 -0.281218 0.190194 -1.479 0.139430
## Household_2_CA_1.l12 -0.053019 0.327337 -0.162 0.871346
## Foods_1_CA_1.l12 0.067744 0.224756 0.301 0.763135
## Foods_2_CA_1.l12 -0.125088 0.135201 -0.925 0.354988
## Foods_3_CA_1.l12 0.066936 0.044591 1.501 0.133510
## Hobbies_CA_1.l13 -0.106308 0.082547 -1.288 0.197967
## Household_1_CA_1.l13 0.200777 0.189997 1.057 0.290777
## Household_2_CA_1.l13 -0.046668 0.326373 -0.143 0.886314
## Foods_1_CA_1.l13 -0.022830 0.225201 -0.101 0.919263
## Foods_2_CA_1.l13 -0.275601 0.135438 -2.035 0.042011 *
## Foods_3_CA_1.l13 0.101557 0.044661 2.274 0.023086 *
## Hobbies_CA_1.l14 0.016194 0.082426 0.196 0.844268
## Household_1_CA_1.l14 0.687727 0.190523 3.610 0.000315 ***
## Household_2_CA_1.l14 -0.057244 0.326086 -0.176 0.860668
## Foods_1_CA_1.l14 -0.231382 0.225425 -1.026 0.304832
## Foods_2_CA_1.l14 0.219743 0.135658 1.620 0.105447
## Foods_3_CA_1.l14 0.076453 0.044488 1.719 0.085880 .
## Hobbies_CA_1.l15 0.019558 0.082524 0.237 0.812684
## Household_1_CA_1.l15 -0.408570 0.191685 -2.131 0.033188 *
## Household_2_CA_1.l15 -0.226717 0.324993 -0.698 0.485515
## Foods_1_CA_1.l15 -0.104847 0.225439 -0.465 0.641933
## Foods_2_CA_1.l15 -0.128366 0.135274 -0.949 0.342787
## Foods_3_CA_1.l15 -0.023357 0.044331 -0.527 0.598346
## Hobbies_CA_1.l16 -0.038530 0.082645 -0.466 0.641121
## Household_1_CA_1.l16 -0.116794 0.191959 -0.608 0.542980
## Household_2_CA_1.l16 0.230654 0.324354 0.711 0.477105
## Foods_1_CA_1.l16 -0.346580 0.225462 -1.537 0.124424
## Foods_2_CA_1.l16 -0.032458 0.135351 -0.240 0.810509
## Foods_3_CA_1.l16 0.026867 0.044282 0.607 0.544121
## Hobbies_CA_1.l17 -0.082401 0.082515 -0.999 0.318115
## Household_1_CA_1.l17 0.447294 0.192067 2.329 0.019979 *
## Household_2_CA_1.l17 0.181222 0.324313 0.559 0.576378
## Foods_1_CA_1.l17 0.045329 0.225650 0.201 0.840815
## Foods_2_CA_1.l17 0.263359 0.135396 1.945 0.051921 .
## Foods_3_CA_1.l17 -0.093109 0.044290 -2.102 0.035674 *
## Hobbies_CA_1.l18 0.134758 0.082422 1.635 0.102231
## Household_1_CA_1.l18 -0.096409 0.192550 -0.501 0.616646
## Household_2_CA_1.l18 0.506759 0.323942 1.564 0.117913
## Foods_1_CA_1.l18 0.040011 0.225715 0.177 0.859320
## Foods_2_CA_1.l18 -0.076202 0.135413 -0.563 0.573686
## Foods_3_CA_1.l18 -0.020296 0.044275 -0.458 0.646712
## Hobbies_CA_1.l19 0.076360 0.082520 0.925 0.354911
## Household_1_CA_1.l19 0.329794 0.192511 1.713 0.086866 .
## Household_2_CA_1.l19 0.258581 0.324512 0.797 0.425656
## Foods_1_CA_1.l19 -0.181737 0.225441 -0.806 0.420270
## Foods_2_CA_1.l19 0.056346 0.135511 0.416 0.677606
## Foods_3_CA_1.l19 -0.042181 0.044378 -0.950 0.341997
## Hobbies_CA_1.l20 0.103851 0.082594 1.257 0.208785
## Household_1_CA_1.l20 -0.036576 0.192760 -0.190 0.849529
## Household_2_CA_1.l20 -0.727439 0.324382 -2.243 0.025050 *
## Foods_1_CA_1.l20 -0.360684 0.224903 -1.604 0.108951
## Foods_2_CA_1.l20 -0.260137 0.135610 -1.918 0.055237 .
## Foods_3_CA_1.l20 0.092545 0.044386 2.085 0.037213 *
## Hobbies_CA_1.l21 -0.125085 0.082430 -1.517 0.129326
## Household_1_CA_1.l21 0.146041 0.192693 0.758 0.448613
## Household_2_CA_1.l21 0.314142 0.325070 0.966 0.333984
## Foods_1_CA_1.l21 -0.147111 0.224992 -0.654 0.513294
## Foods_2_CA_1.l21 0.020312 0.135666 0.150 0.881001
## Foods_3_CA_1.l21 0.111576 0.044317 2.518 0.011901 *
## Hobbies_CA_1.l22 -0.011601 0.082193 -0.141 0.887774
## Household_1_CA_1.l22 -0.439798 0.194239 -2.264 0.023682 *
## Household_2_CA_1.l22 0.518319 0.323469 1.602 0.109251
## Foods_1_CA_1.l22 0.083505 0.225111 0.371 0.710720
## Foods_2_CA_1.l22 0.205363 0.135268 1.518 0.129144
## Foods_3_CA_1.l22 -0.070302 0.044074 -1.595 0.110874
## Hobbies_CA_1.l23 -0.016841 0.082114 -0.205 0.837520
## Household_1_CA_1.l23 -0.192880 0.193967 -0.994 0.320164
## Household_2_CA_1.l23 -0.554585 0.322001 -1.722 0.085188 .
## Foods_1_CA_1.l23 0.206971 0.225479 0.918 0.358789
## Foods_2_CA_1.l23 -0.231003 0.135010 -1.711 0.087255 .
## Foods_3_CA_1.l23 0.082435 0.043944 1.876 0.060830 .
## Hobbies_CA_1.l24 -0.201718 0.082130 -2.456 0.014141 *
## Household_1_CA_1.l24 -0.215766 0.192713 -1.120 0.263026
## Household_2_CA_1.l24 -0.425247 0.321681 -1.322 0.186355
## Foods_1_CA_1.l24 -0.026263 0.226020 -0.116 0.907509
## Foods_2_CA_1.l24 -0.121666 0.134815 -0.902 0.366930
## Foods_3_CA_1.l24 0.054188 0.043983 1.232 0.218105
## Hobbies_CA_1.l25 0.160142 0.082210 1.948 0.051578 .
## Household_1_CA_1.l25 0.061396 0.192614 0.319 0.749954
## Household_2_CA_1.l25 0.102109 0.320675 0.318 0.750204
## Foods_1_CA_1.l25 -0.050323 0.225814 -0.223 0.823676
## Foods_2_CA_1.l25 -0.123288 0.134629 -0.916 0.359917
## Foods_3_CA_1.l25 -0.028982 0.044036 -0.658 0.510532
## Hobbies_CA_1.l26 -0.096416 0.082204 -1.173 0.240999
## Household_1_CA_1.l26 -0.097011 0.192964 -0.503 0.615209
## Household_2_CA_1.l26 -0.119486 0.320192 -0.373 0.709068
## Foods_1_CA_1.l26 0.321666 0.224203 1.435 0.151548
## Foods_2_CA_1.l26 0.081740 0.134619 0.607 0.543797
## Foods_3_CA_1.l26 0.006676 0.044030 0.152 0.879494
## Hobbies_CA_1.l27 0.134175 0.081674 1.643 0.100598
## Household_1_CA_1.l27 -0.116441 0.192193 -0.606 0.544689
## Household_2_CA_1.l27 0.266601 0.319277 0.835 0.403822
## Foods_1_CA_1.l27 0.284591 0.222775 1.277 0.201600
## Foods_2_CA_1.l27 -0.062448 0.133431 -0.468 0.639830
## Foods_3_CA_1.l27 0.010225 0.043682 0.234 0.814950
## Hobbies_CA_1.l28 -0.116930 0.080229 -1.457 0.145166
## Household_1_CA_1.l28 0.190593 0.186442 1.022 0.306794
## Household_2_CA_1.l28 0.213019 0.315636 0.675 0.499836
## Foods_1_CA_1.l28 0.369319 0.212460 1.738 0.082332 .
## Foods_2_CA_1.l28 0.161004 0.125511 1.283 0.199736
## Foods_3_CA_1.l28 0.093098 0.041200 2.260 0.023962 *
## const 100.854058 67.475236 1.495 0.135175
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 193.3 on 1772 degrees of freedom
## Multiple R-Squared: 0.8255, Adjusted R-squared: 0.809
## F-statistic: 49.9 on 168 and 1772 DF, p-value: < 2.2e-16
##
##
##
## Covariance matrix of residuals:
## Hobbies_CA_1 Household_1_CA_1 Household_2_CA_1 Foods_1_CA_1
## Hobbies_CA_1 3663.4 555.2 272.7 376.8
## Household_1_CA_1 555.2 879.6 195.2 282.0
## Household_2_CA_1 272.7 195.2 273.5 123.3
## Foods_1_CA_1 376.8 282.0 123.3 611.8
## Foods_2_CA_1 552.2 504.6 231.9 326.5
## Foods_3_CA_1 3579.7 2879.6 1383.5 2010.6
## Foods_2_CA_1 Foods_3_CA_1
## Hobbies_CA_1 552.2 3580
## Household_1_CA_1 504.6 2880
## Household_2_CA_1 231.9 1384
## Foods_1_CA_1 326.5 2011
## Foods_2_CA_1 2990.9 7722
## Foods_3_CA_1 7722.2 37352
##
## Correlation matrix of residuals:
## Hobbies_CA_1 Household_1_CA_1 Household_2_CA_1 Foods_1_CA_1
## Hobbies_CA_1 1.0000 0.3093 0.2725 0.2517
## Household_1_CA_1 0.3093 1.0000 0.3981 0.3844
## Household_2_CA_1 0.2725 0.3981 1.0000 0.3015
## Foods_1_CA_1 0.2517 0.3844 0.3015 1.0000
## Foods_2_CA_1 0.1668 0.3111 0.2564 0.2414
## Foods_3_CA_1 0.3060 0.5024 0.4329 0.4206
## Foods_2_CA_1 Foods_3_CA_1
## Hobbies_CA_1 0.1668 0.3060
## Household_1_CA_1 0.3111 0.5024
## Household_2_CA_1 0.2564 0.4329
## Foods_1_CA_1 0.2414 0.4206
## Foods_2_CA_1 1.0000 0.7306
## Foods_3_CA_1 0.7306 1.0000Serial1 <- serial.test(Model1, lags.pt = 5, type = "PT.asymptotic")## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs produced
## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs producedSerial1##
## Portmanteau Test (asymptotic)
##
## data: Residuals of VAR object Model1
## Chi-squared = 9.3219, df = -828, p-value = NAArch1 <- arch.test(Model1, lags.multi = 15, multivariate.only = TRUE)
Arch1##
## ARCH (multivariate)
##
## data: Residuals of VAR object Model1
## Chi-squared = 7390.2, df = 6615, p-value = 4.057e-11Norm1 <- normality.test(Model1, multivariate.only = TRUE)
Norm1## $JB
##
## JB-Test (multivariate)
##
## data: Residuals of VAR object Model1
## Chi-squared = 2839.6, df = 12, p-value < 2.2e-16
##
##
## $Skewness
##
## Skewness only (multivariate)
##
## data: Residuals of VAR object Model1
## Chi-squared = 214.61, df = 6, p-value < 2.2e-16
##
##
## $Kurtosis
##
## Kurtosis only (multivariate)
##
## data: Residuals of VAR object Model1
## Chi-squared = 2625, df = 6, p-value < 2.2e-16Stability1 <- stability(Model1, type = "OLS-CUSUM")
plot(Stability1)
After confirming that our model has passed the above tests, we proceed to forecast using VAR. We will set the forecast horizon to 28 days ahead or a four-week forecast. Then we combine the forecast results to get our forecast for the store CA_1.
forecast <- predict(Model1, n.ahead = 28, ci = 0.95)
fanchart(forecast, names = "Hobbies_CA_1", main = "Fanchart for Hobbies_CA_1", xlab = "Horizon", ylab = "Hobbies_CA_1")
fanchart(forecast, names = "Household_1_CA_1", main = "Fanchart for Household_1_CA_1", xlab = "Horizon", ylab = "Household_1_CA_1")
fanchart(forecast, names = "Household_2_CA_1", main = "Fanchart for Household_2_CA_1", xlab = "Horizon", ylab = "Household_2_CA_1")
fanchart(forecast, names = "Foods_1_CA_1", main = "Fanchart for Foods_1_CA_1", xlab = "Horizon", ylab = "Foods_1_CA_1")
fanchart(forecast, names = "Foods_2_CA_1", main = "Fanchart for Foods_2_CA_1", xlab = "Horizon", ylab = "Foods_2_CA_1")
fanchart(forecast, names = "Foods_3_CA_1", main = "Fanchart for Foods_3_CA_1", xlab = "Horizon", ylab = "Foods_3_CA_1")
result_1 = forecast$fcst$Hobbies_CA_1+forecast$fcst$Household_1_CA_1+forecast$fcst$Household_2_CA_1+forecast$fcst$Foods_1_CA_1+forecast$fcst$Foods_2_CA_1+forecast$fcst$Foods_3_CA_1
print(result_1)## fcst lower upper CI
## [1,] 2763.665 2020.032 3507.297 743.6324
## [2,] 2756.605 1970.375 3542.835 786.2300
## [3,] 2592.269 1796.017 3388.521 796.2520
## [4,] 2675.794 1873.201 3478.388 802.5936
## [5,] 3125.998 2317.933 3934.063 808.0650
## [6,] 3666.949 2852.918 4480.981 814.0314
## [7,] 3751.120 2933.166 4569.073 817.9536
## [8,] 2947.874 2109.274 3786.473 838.5998
## [9,] 2858.736 2009.633 3707.839 849.1027
## [10,] 2729.091 1876.155 3582.026 852.9355
## [11,] 2840.270 1984.898 3695.641 855.3714
## [12,] 3320.232 2462.781 4177.683 857.4506
## [13,] 3874.267 3014.742 4733.791 859.5245
## [14,] 4019.012 3156.705 4881.320 862.3075
## [15,] 3152.323 2269.545 4035.100 882.7775
## [16,] 2826.866 1939.925 3713.808 886.9415
## [17,] 2678.055 1788.411 3567.699 889.6441
## [18,] 2823.628 1930.775 3716.481 892.8530
## [19,] 3340.571 2445.175 4235.968 895.3966
## [20,] 3928.120 3030.293 4825.947 897.8268
## [21,] 4002.783 3102.506 4903.060 900.2771
## [22,] 3212.882 2296.421 4129.343 916.4607
## [23,] 2905.409 1982.484 3828.335 922.9255
## [24,] 2760.804 1835.301 3686.307 925.5026
## [25,] 2787.078 1858.874 3715.282 928.2037
## [26,] 3258.993 2329.048 4188.939 929.9459
## [27,] 3803.100 2871.851 4734.349 931.2492
## [28,] 3781.257 2845.434 4717.081 935.8235Analysis for the second store CA_2
We repeat the steps above except some parameters to get forecasts for CA_2.
Hobbies_CA_2 <- ts(sales$Hobbies_CA_2, start = c(2011,1,29), frequency = 365.25)
Household_1_CA_2 <- ts(sales$Household_1_CA_2, start = c(2011,1,29), frequency = 365.25)
Household_2_CA_2 <- ts(sales$Household_2_CA_2, start = c(2011,1,29), frequency = 365.25)
Foods_1_CA_2 <- ts(sales$Foods_1_CA_2, start = c(2011,1,29), frequency = 365.25)
Foods_2_CA_2 <- ts(sales$Foods_2_CA_2, start = c(2011,1,29), frequency = 365.25)
Foods_3_CA_2 <- ts(sales$Foods_3_CA_2, start = c(2011,1,29), frequency = 365.25)
ts_plot(Hobbies_CA_2)ts_plot(Household_1_CA_2)ts_plot(Household_2_CA_2)ts_plot(Foods_1_CA_2)ts_plot(Foods_2_CA_2)ts_plot(Foods_3_CA_2)pp.test(Hobbies_CA_2)## Warning in pp.test(Hobbies_CA_2): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Hobbies_CA_2
## Dickey-Fuller Z(alpha) = -1338.6, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Household_1_CA_2)## Warning in pp.test(Household_1_CA_2): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Household_1_CA_2
## Dickey-Fuller Z(alpha) = -823.19, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Household_2_CA_2)## Warning in pp.test(Household_2_CA_2): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Household_2_CA_2
## Dickey-Fuller Z(alpha) = -893.85, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_1_CA_2)## Warning in pp.test(Foods_1_CA_2): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_1_CA_2
## Dickey-Fuller Z(alpha) = -331.5, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_2_CA_2)## Warning in pp.test(Foods_2_CA_2): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_2_CA_2
## Dickey-Fuller Z(alpha) = -809.38, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_3_CA_2)## Warning in pp.test(Foods_3_CA_2): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_3_CA_2
## Dickey-Fuller Z(alpha) = -742.38, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationaryv2 <- cbind(Hobbies_CA_2, Household_1_CA_2, Household_2_CA_2, Foods_1_CA_2, Foods_2_CA_2, Foods_3_CA_2)
colnames(v2) <- cbind("Hobbies_CA_2","Household_1_CA_2","Household_2_CA_2", "Foods_1_CA_2", 'Foods_2_CA_2', 'Foods_3_CA_2')
lagselect <- VARselect(v2, lag.max = 60, type = "const")
lagselect$selection## AIC(n) HQ(n) SC(n) FPE(n)
## 14 7 7 14Model2 <- VAR(v2, p = 14, type = "const", season = NULL, exog = NULL)
summary(Model2)##
## VAR Estimation Results:
## =========================
## Endogenous variables: Hobbies_CA_2, Household_1_CA_2, Household_2_CA_2, Foods_1_CA_2, Foods_2_CA_2, Foods_3_CA_2
## Deterministic variables: const
## Sample size: 1955
## Log Likelihood: -56931.601
## Roots of the characteristic polynomial:
## 0.9999 0.9965 0.9965 0.9921 0.9836 0.9836 0.9754 0.9754 0.9754 0.9732 0.961 0.9584 0.9196 0.9196 0.913 0.913 0.9065 0.9065 0.8971 0.8971 0.8819 0.8766 0.8766 0.8754 0.8754 0.8666 0.8666 0.8651 0.8651 0.8644 0.8644 0.8626 0.8626 0.8626 0.8626 0.8603 0.8603 0.8567 0.8567 0.852 0.852 0.8513 0.8513 0.8427 0.8427 0.8425 0.8425 0.8416 0.8416 0.8407 0.8407 0.8404 0.8404 0.8397 0.8397 0.8332 0.8332 0.8181 0.8181 0.8113 0.8113 0.8092 0.8092 0.8085 0.8085 0.8083 0.8083 0.7956 0.7956 0.793 0.793 0.7919 0.7919 0.7914 0.7914 0.7886 0.7569 0.7569 0.7299 0.7299 0.7181 0.7181 0.5566 0.5566
## Call:
## VAR(y = v2, p = 14, type = "const", exogen = NULL)
##
##
## Estimation results for equation Hobbies_CA_2:
## =============================================
## Hobbies_CA_2 = Hobbies_CA_2.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Hobbies_CA_2.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Hobbies_CA_2.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Hobbies_CA_2.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Hobbies_CA_2.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Hobbies_CA_2.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Hobbies_CA_2.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Hobbies_CA_2.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Hobbies_CA_2.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Hobbies_CA_2.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Hobbies_CA_2.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Hobbies_CA_2.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Hobbies_CA_2.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Hobbies_CA_2.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_2.l1 0.087648 0.024759 3.540 0.000410 ***
## Household_1_CA_2.l1 0.009761 0.046174 0.211 0.832603
## Household_2_CA_2.l1 0.047023 0.059249 0.794 0.427502
## Foods_1_CA_2.l1 0.138207 0.069935 1.976 0.048277 *
## Foods_2_CA_2.l1 0.020233 0.050669 0.399 0.689713
## Foods_3_CA_2.l1 -0.021191 0.013792 -1.537 0.124578
## Hobbies_CA_2.l2 0.065650 0.024788 2.648 0.008154 **
## Household_1_CA_2.l2 -0.036590 0.047408 -0.772 0.440324
## Household_2_CA_2.l2 0.052719 0.059839 0.881 0.378418
## Foods_1_CA_2.l2 -0.069867 0.072616 -0.962 0.336098
## Foods_2_CA_2.l2 -0.100913 0.052247 -1.931 0.053579 .
## Foods_3_CA_2.l2 -0.012064 0.014303 -0.843 0.399099
## Hobbies_CA_2.l3 0.065043 0.024874 2.615 0.008997 **
## Household_1_CA_2.l3 0.022030 0.047727 0.462 0.644428
## Household_2_CA_2.l3 -0.029451 0.060000 -0.491 0.623587
## Foods_1_CA_2.l3 -0.029934 0.072886 -0.411 0.681343
## Foods_2_CA_2.l3 -0.007436 0.052552 -0.141 0.887497
## Foods_3_CA_2.l3 0.007216 0.014400 0.501 0.616333
## Hobbies_CA_2.l4 0.041921 0.024979 1.678 0.093460 .
## Household_1_CA_2.l4 -0.029729 0.047847 -0.621 0.534450
## Household_2_CA_2.l4 -0.043198 0.060287 -0.717 0.473748
## Foods_1_CA_2.l4 0.149504 0.072852 2.052 0.040293 *
## Foods_2_CA_2.l4 -0.054520 0.052608 -1.036 0.300167
## Foods_3_CA_2.l4 -0.009841 0.014415 -0.683 0.494882
## Hobbies_CA_2.l5 0.059512 0.025026 2.378 0.017504 *
## Household_1_CA_2.l5 -0.067194 0.047854 -1.404 0.160440
## Household_2_CA_2.l5 -0.021421 0.060493 -0.354 0.723297
## Foods_1_CA_2.l5 0.092246 0.073439 1.256 0.209240
## Foods_2_CA_2.l5 -0.007557 0.052550 -0.144 0.885668
## Foods_3_CA_2.l5 -0.032331 0.014455 -2.237 0.025427 *
## Hobbies_CA_2.l6 0.016854 0.024940 0.676 0.499266
## Household_1_CA_2.l6 0.045500 0.047869 0.951 0.341975
## Household_2_CA_2.l6 0.067022 0.060468 1.108 0.267838
## Foods_1_CA_2.l6 -0.062373 0.073318 -0.851 0.395036
## Foods_2_CA_2.l6 -0.036988 0.052482 -0.705 0.481033
## Foods_3_CA_2.l6 0.036649 0.014487 2.530 0.011495 *
## Hobbies_CA_2.l7 0.082600 0.024901 3.317 0.000927 ***
## Household_1_CA_2.l7 0.097290 0.047884 2.032 0.042318 *
## Household_2_CA_2.l7 0.090412 0.060375 1.498 0.134430
## Foods_1_CA_2.l7 0.063973 0.073793 0.867 0.386095
## Foods_2_CA_2.l7 0.045520 0.052591 0.866 0.386852
## Foods_3_CA_2.l7 0.002215 0.014513 0.153 0.878736
## Hobbies_CA_2.l8 0.045041 0.024871 1.811 0.070297 .
## Household_1_CA_2.l8 -0.055948 0.048478 -1.154 0.248608
## Household_2_CA_2.l8 0.099225 0.060271 1.646 0.099864 .
## Foods_1_CA_2.l8 -0.010278 0.073819 -0.139 0.889278
## Foods_2_CA_2.l8 -0.057741 0.052534 -1.099 0.271865
## Foods_3_CA_2.l8 0.007534 0.014517 0.519 0.603853
## Hobbies_CA_2.l9 0.047745 0.024774 1.927 0.054101 .
## Household_1_CA_2.l9 -0.128811 0.048578 -2.652 0.008078 **
## Household_2_CA_2.l9 -0.185432 0.060379 -3.071 0.002163 **
## Foods_1_CA_2.l9 0.068961 0.073360 0.940 0.347322
## Foods_2_CA_2.l9 0.017855 0.052396 0.341 0.733309
## Foods_3_CA_2.l9 0.021628 0.014530 1.488 0.136801
## Hobbies_CA_2.l10 0.052361 0.024693 2.120 0.034101 *
## Household_1_CA_2.l10 0.060396 0.048594 1.243 0.214078
## Household_2_CA_2.l10 -0.006373 0.060549 -0.105 0.916189
## Foods_1_CA_2.l10 -0.025208 0.073510 -0.343 0.731692
## Foods_2_CA_2.l10 0.059598 0.052368 1.138 0.255237
## Foods_3_CA_2.l10 -0.023412 0.014527 -1.612 0.107218
## Hobbies_CA_2.l11 0.021323 0.024607 0.867 0.386300
## Household_1_CA_2.l11 0.050128 0.048595 1.032 0.302420
## Household_2_CA_2.l11 -0.079543 0.060465 -1.316 0.188496
## Foods_1_CA_2.l11 -0.040754 0.073413 -0.555 0.578868
## Foods_2_CA_2.l11 -0.040131 0.052322 -0.767 0.443174
## Foods_3_CA_2.l11 0.018591 0.014510 1.281 0.200271
## Hobbies_CA_2.l12 0.041954 0.024513 1.711 0.087163 .
## Household_1_CA_2.l12 0.018639 0.048565 0.384 0.701178
## Household_2_CA_2.l12 0.025963 0.060236 0.431 0.666497
## Foods_1_CA_2.l12 -0.103936 0.073423 -1.416 0.157067
## Foods_2_CA_2.l12 0.075699 0.052211 1.450 0.147266
## Foods_3_CA_2.l12 -0.028802 0.014506 -1.985 0.047237 *
## Hobbies_CA_2.l13 0.070566 0.024441 2.887 0.003931 **
## Household_1_CA_2.l13 0.021365 0.048277 0.443 0.658137
## Household_2_CA_2.l13 0.007411 0.060022 0.123 0.901744
## Foods_1_CA_2.l13 0.094648 0.073011 1.296 0.195013
## Foods_2_CA_2.l13 0.029026 0.052075 0.557 0.577331
## Foods_3_CA_2.l13 -0.011544 0.014493 -0.796 0.425852
## Hobbies_CA_2.l14 0.084979 0.024310 3.496 0.000484 ***
## Household_1_CA_2.l14 0.020324 0.046771 0.435 0.663938
## Household_2_CA_2.l14 0.015422 0.059143 0.261 0.794305
## Foods_1_CA_2.l14 -0.141304 0.070396 -2.007 0.044863 *
## Foods_2_CA_2.l14 0.058647 0.050410 1.163 0.244809
## Foods_3_CA_2.l14 0.038037 0.013902 2.736 0.006276 **
## const 40.581302 12.969276 3.129 0.001781 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 48.52 on 1870 degrees of freedom
## Multiple R-Squared: 0.5815, Adjusted R-squared: 0.5627
## F-statistic: 30.93 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_2:
## =================================================
## Household_1_CA_2 = Hobbies_CA_2.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Hobbies_CA_2.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Hobbies_CA_2.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Hobbies_CA_2.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Hobbies_CA_2.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Hobbies_CA_2.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Hobbies_CA_2.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Hobbies_CA_2.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Hobbies_CA_2.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Hobbies_CA_2.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Hobbies_CA_2.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Hobbies_CA_2.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Hobbies_CA_2.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Hobbies_CA_2.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_2.l1 0.0266858 0.0157174 1.698 0.08970 .
## Household_1_CA_2.l1 0.2232573 0.0293123 7.616 4.11e-14 ***
## Household_2_CA_2.l1 -0.0056495 0.0376126 -0.150 0.88062
## Foods_1_CA_2.l1 0.0157268 0.0443961 0.354 0.72320
## Foods_2_CA_2.l1 0.0102149 0.0321657 0.318 0.75085
## Foods_3_CA_2.l1 -0.0112669 0.0087551 -1.287 0.19829
## Hobbies_CA_2.l2 -0.0230565 0.0157358 -1.465 0.14303
## Household_1_CA_2.l2 -0.0015196 0.0300957 -0.050 0.95974
## Household_2_CA_2.l2 -0.0437665 0.0379866 -1.152 0.24940
## Foods_1_CA_2.l2 -0.0414495 0.0460977 -0.899 0.36868
## Foods_2_CA_2.l2 -0.0095801 0.0331676 -0.289 0.77274
## Foods_3_CA_2.l2 -0.0061114 0.0090799 -0.673 0.50098
## Hobbies_CA_2.l3 0.0111512 0.0157905 0.706 0.48015
## Household_1_CA_2.l3 0.0830405 0.0302978 2.741 0.00619 **
## Household_2_CA_2.l3 -0.0093038 0.0380889 -0.244 0.80705
## Foods_1_CA_2.l3 0.0360869 0.0462690 0.780 0.43553
## Foods_2_CA_2.l3 -0.0461185 0.0333608 -1.382 0.16701
## Foods_3_CA_2.l3 -0.0075935 0.0091413 -0.831 0.40626
## Hobbies_CA_2.l4 -0.0208958 0.0158568 -1.318 0.18774
## Household_1_CA_2.l4 0.0048273 0.0303739 0.159 0.87374
## Household_2_CA_2.l4 -0.0583538 0.0382711 -1.525 0.12749
## Foods_1_CA_2.l4 0.0898491 0.0462476 1.943 0.05219 .
## Foods_2_CA_2.l4 -0.0325968 0.0333962 -0.976 0.32916
## Foods_3_CA_2.l4 0.0065687 0.0091511 0.718 0.47297
## Hobbies_CA_2.l5 0.0104250 0.0158867 0.656 0.51177
## Household_1_CA_2.l5 0.0124918 0.0303783 0.411 0.68097
## Household_2_CA_2.l5 -0.0858557 0.0384022 -2.236 0.02549 *
## Foods_1_CA_2.l5 -0.0272677 0.0466202 -0.585 0.55869
## Foods_2_CA_2.l5 -0.0018854 0.0333594 -0.057 0.95494
## Foods_3_CA_2.l5 -0.0067740 0.0091764 -0.738 0.46049
## Hobbies_CA_2.l6 -0.0061712 0.0158322 -0.390 0.69674
## Household_1_CA_2.l6 0.0405374 0.0303880 1.334 0.18237
## Household_2_CA_2.l6 0.0086437 0.0383865 0.225 0.82187
## Foods_1_CA_2.l6 0.0381371 0.0465438 0.819 0.41267
## Foods_2_CA_2.l6 0.0005341 0.0333162 0.016 0.98721
## Foods_3_CA_2.l6 0.0074288 0.0091965 0.808 0.41932
## Hobbies_CA_2.l7 -0.0115449 0.0158073 -0.730 0.46527
## Household_1_CA_2.l7 0.2413978 0.0303978 7.941 3.42e-15 ***
## Household_2_CA_2.l7 0.0966625 0.0383273 2.522 0.01175 *
## Foods_1_CA_2.l7 -0.0646294 0.0468449 -1.380 0.16786
## Foods_2_CA_2.l7 -0.0015076 0.0333860 -0.045 0.96399
## Foods_3_CA_2.l7 0.0130131 0.0092129 1.412 0.15797
## Hobbies_CA_2.l8 -0.0025546 0.0157882 -0.162 0.87148
## Household_1_CA_2.l8 -0.0626459 0.0307745 -2.036 0.04193 *
## Household_2_CA_2.l8 0.0390510 0.0382609 1.021 0.30755
## Foods_1_CA_2.l8 -0.0254058 0.0468618 -0.542 0.58778
## Foods_2_CA_2.l8 -0.0060628 0.0333496 -0.182 0.85576
## Foods_3_CA_2.l8 0.0225995 0.0092158 2.452 0.01429 *
## Hobbies_CA_2.l9 0.0112962 0.0157267 0.718 0.47267
## Household_1_CA_2.l9 -0.0367334 0.0308382 -1.191 0.23374
## Household_2_CA_2.l9 -0.1057384 0.0383294 -2.759 0.00586 **
## Foods_1_CA_2.l9 0.0678195 0.0465700 1.456 0.14548
## Foods_2_CA_2.l9 -0.0293923 0.0332619 -0.884 0.37699
## Foods_3_CA_2.l9 0.0150925 0.0092242 1.636 0.10197
## Hobbies_CA_2.l10 0.0163566 0.0156758 1.043 0.29688
## Household_1_CA_2.l10 0.0561886 0.0308486 1.821 0.06870 .
## Household_2_CA_2.l10 -0.0082916 0.0384374 -0.216 0.82923
## Foods_1_CA_2.l10 -0.0156270 0.0466652 -0.335 0.73776
## Foods_2_CA_2.l10 0.0432028 0.0332441 1.300 0.19391
## Foods_3_CA_2.l10 -0.0158887 0.0092219 -1.723 0.08507 .
## Hobbies_CA_2.l11 -0.0152133 0.0156210 -0.974 0.33023
## Household_1_CA_2.l11 0.0154884 0.0308490 0.502 0.61568
## Household_2_CA_2.l11 -0.0204933 0.0383842 -0.534 0.59347
## Foods_1_CA_2.l11 -0.0354272 0.0466039 -0.760 0.44724
## Foods_2_CA_2.l11 0.0146314 0.0332148 0.441 0.65962
## Foods_3_CA_2.l11 0.0076597 0.0092112 0.832 0.40576
## Hobbies_CA_2.l12 0.0072494 0.0155615 0.466 0.64138
## Household_1_CA_2.l12 0.0184455 0.0308297 0.598 0.54971
## Household_2_CA_2.l12 0.0969870 0.0382389 2.536 0.01128 *
## Foods_1_CA_2.l12 -0.0196401 0.0466104 -0.421 0.67353
## Foods_2_CA_2.l12 0.0817371 0.0331445 2.466 0.01375 *
## Foods_3_CA_2.l12 -0.0429264 0.0092088 -4.661 3.36e-06 ***
## Hobbies_CA_2.l13 -0.0029583 0.0155156 -0.191 0.84881
## Household_1_CA_2.l13 0.0914742 0.0306470 2.985 0.00287 **
## Household_2_CA_2.l13 0.0608653 0.0381027 1.597 0.11035
## Foods_1_CA_2.l13 0.0389326 0.0463487 0.840 0.40102
## Foods_2_CA_2.l13 -0.0518883 0.0330578 -1.570 0.11667
## Foods_3_CA_2.l13 0.0023514 0.0092005 0.256 0.79831
## Hobbies_CA_2.l14 0.0039065 0.0154323 0.253 0.80019
## Household_1_CA_2.l14 0.1929094 0.0296910 6.497 1.05e-10 ***
## Household_2_CA_2.l14 0.0866505 0.0375448 2.308 0.02111 *
## Foods_1_CA_2.l14 -0.0213539 0.0446883 -0.478 0.63282
## Foods_2_CA_2.l14 -0.0103756 0.0320009 -0.324 0.74580
## Foods_3_CA_2.l14 0.0277707 0.0088253 3.147 0.00168 **
## const 7.6980689 8.2331256 0.935 0.34990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 30.8 on 1870 degrees of freedom
## Multiple R-Squared: 0.8179, Adjusted R-squared: 0.8097
## F-statistic: 99.98 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_2:
## =================================================
## Household_2_CA_2 = Hobbies_CA_2.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Hobbies_CA_2.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Hobbies_CA_2.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Hobbies_CA_2.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Hobbies_CA_2.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Hobbies_CA_2.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Hobbies_CA_2.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Hobbies_CA_2.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Hobbies_CA_2.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Hobbies_CA_2.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Hobbies_CA_2.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Hobbies_CA_2.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Hobbies_CA_2.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Hobbies_CA_2.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_2.l1 0.0109578 0.0118135 0.928 0.353754
## Household_1_CA_2.l1 0.0099804 0.0220318 0.453 0.650601
## Household_2_CA_2.l1 0.1412779 0.0282704 4.997 6.35e-07 ***
## Foods_1_CA_2.l1 -0.0622984 0.0333690 -1.867 0.062065 .
## Foods_2_CA_2.l1 0.0279760 0.0241764 1.157 0.247354
## Foods_3_CA_2.l1 -0.0074426 0.0065805 -1.131 0.258197
## Hobbies_CA_2.l2 -0.0124430 0.0118273 -1.052 0.292911
## Household_1_CA_2.l2 -0.1071164 0.0226206 -4.735 2.35e-06 ***
## Household_2_CA_2.l2 0.0623020 0.0285515 2.182 0.029227 *
## Foods_1_CA_2.l2 0.0111874 0.0346480 0.323 0.746816
## Foods_2_CA_2.l2 -0.0084201 0.0249295 -0.338 0.735583
## Foods_3_CA_2.l2 0.0026105 0.0068246 0.383 0.702123
## Hobbies_CA_2.l3 0.0048161 0.0118685 0.406 0.684945
## Household_1_CA_2.l3 0.0235137 0.0227725 1.033 0.301948
## Household_2_CA_2.l3 0.0862479 0.0286284 3.013 0.002624 **
## Foods_1_CA_2.l3 0.0373425 0.0347768 1.074 0.283061
## Foods_2_CA_2.l3 -0.0403689 0.0250746 -1.610 0.107578
## Foods_3_CA_2.l3 -0.0062228 0.0068708 -0.906 0.365219
## Hobbies_CA_2.l4 -0.0267897 0.0119183 -2.248 0.024707 *
## Household_1_CA_2.l4 0.0147499 0.0228297 0.646 0.518303
## Household_2_CA_2.l4 -0.0074381 0.0287653 -0.259 0.795989
## Foods_1_CA_2.l4 -0.0018212 0.0347607 -0.052 0.958222
## Foods_2_CA_2.l4 -0.0173619 0.0251013 -0.692 0.489228
## Foods_3_CA_2.l4 0.0038914 0.0068782 0.566 0.571628
## Hobbies_CA_2.l5 0.0180515 0.0119408 1.512 0.130766
## Household_1_CA_2.l5 -0.0574829 0.0228330 -2.518 0.011901 *
## Household_2_CA_2.l5 0.0111952 0.0288639 0.388 0.698163
## Foods_1_CA_2.l5 -0.0106041 0.0350407 -0.303 0.762212
## Foods_2_CA_2.l5 0.0055026 0.0250736 0.219 0.826317
## Foods_3_CA_2.l5 -0.0067121 0.0068972 -0.973 0.330594
## Hobbies_CA_2.l6 0.0013000 0.0118998 0.109 0.913022
## Household_1_CA_2.l6 0.0153410 0.0228403 0.672 0.501882
## Household_2_CA_2.l6 0.0479008 0.0288521 1.660 0.097038 .
## Foods_1_CA_2.l6 0.0209264 0.0349833 0.598 0.549792
## Foods_2_CA_2.l6 0.0278335 0.0250412 1.112 0.266492
## Foods_3_CA_2.l6 -0.0032779 0.0069123 -0.474 0.635408
## Hobbies_CA_2.l7 -0.0202703 0.0118811 -1.706 0.088157 .
## Household_1_CA_2.l7 0.1311752 0.0228477 5.741 1.09e-08 ***
## Household_2_CA_2.l7 0.1706054 0.0288076 5.922 3.77e-09 ***
## Foods_1_CA_2.l7 0.0223181 0.0352096 0.634 0.526247
## Foods_2_CA_2.l7 0.0381553 0.0250936 1.521 0.128550
## Foods_3_CA_2.l7 -0.0064498 0.0069246 -0.931 0.351752
## Hobbies_CA_2.l8 0.0078432 0.0118668 0.661 0.508731
## Household_1_CA_2.l8 -0.0400465 0.0231308 -1.731 0.083561 .
## Household_2_CA_2.l8 0.0626649 0.0287577 2.179 0.029451 *
## Foods_1_CA_2.l8 -0.0252673 0.0352223 -0.717 0.473238
## Foods_2_CA_2.l8 -0.0098242 0.0250663 -0.392 0.695155
## Foods_3_CA_2.l8 0.0165446 0.0069268 2.388 0.017016 *
## Hobbies_CA_2.l9 -0.0004930 0.0118205 -0.042 0.966737
## Household_1_CA_2.l9 -0.0775503 0.0231786 -3.346 0.000837 ***
## Household_2_CA_2.l9 0.0192727 0.0288092 0.669 0.503591
## Foods_1_CA_2.l9 0.0813837 0.0350030 2.325 0.020176 *
## Foods_2_CA_2.l9 -0.0352366 0.0250003 -1.409 0.158869
## Foods_3_CA_2.l9 0.0054087 0.0069331 0.780 0.435418
## Hobbies_CA_2.l10 0.0065291 0.0117822 0.554 0.579546
## Household_1_CA_2.l10 0.0064990 0.0231864 0.280 0.779284
## Household_2_CA_2.l10 0.0051629 0.0288904 0.179 0.858186
## Foods_1_CA_2.l10 -0.0162226 0.0350746 -0.463 0.643764
## Foods_2_CA_2.l10 0.0057111 0.0249869 0.229 0.819233
## Foods_3_CA_2.l10 -0.0018426 0.0069314 -0.266 0.790395
## Hobbies_CA_2.l11 -0.0017904 0.0117411 -0.152 0.878820
## Household_1_CA_2.l11 -0.0139505 0.0231868 -0.602 0.547475
## Household_2_CA_2.l11 -0.0107959 0.0288503 -0.374 0.708295
## Foods_1_CA_2.l11 0.0095848 0.0350284 0.274 0.784400
## Foods_2_CA_2.l11 0.0045648 0.0249649 0.183 0.854935
## Foods_3_CA_2.l11 0.0048023 0.0069233 0.694 0.487993
## Hobbies_CA_2.l12 0.0053098 0.0116964 0.454 0.649904
## Household_1_CA_2.l12 0.0050777 0.0231723 0.219 0.826575
## Household_2_CA_2.l12 0.0827839 0.0287412 2.880 0.004018 **
## Foods_1_CA_2.l12 -0.0131698 0.0350333 -0.376 0.707017
## Foods_2_CA_2.l12 0.0082933 0.0249121 0.333 0.739244
## Foods_3_CA_2.l12 -0.0207824 0.0069215 -3.003 0.002713 **
## Hobbies_CA_2.l13 0.0008698 0.0116618 0.075 0.940555
## Household_1_CA_2.l13 0.0162578 0.0230349 0.706 0.480408
## Household_2_CA_2.l13 0.0608384 0.0286388 2.124 0.033773 *
## Foods_1_CA_2.l13 0.0679975 0.0348367 1.952 0.051100 .
## Foods_2_CA_2.l13 0.0066966 0.0248469 0.270 0.787564
## Foods_3_CA_2.l13 -0.0033627 0.0069153 -0.486 0.626833
## Hobbies_CA_2.l14 0.0162004 0.0115992 1.397 0.162676
## Household_1_CA_2.l14 0.1101362 0.0223164 4.935 8.72e-07 ***
## Household_2_CA_2.l14 0.1134669 0.0282194 4.021 6.03e-05 ***
## Foods_1_CA_2.l14 -0.0688279 0.0335887 -2.049 0.040588 *
## Foods_2_CA_2.l14 0.0026974 0.0240525 0.112 0.910720
## Foods_3_CA_2.l14 0.0160488 0.0066333 2.419 0.015639 *
## const 14.4957449 6.1881897 2.342 0.019260 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 23.15 on 1870 degrees of freedom
## Multiple R-Squared: 0.7733, Adjusted R-squared: 0.7631
## F-statistic: 75.94 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_2:
## =============================================
## Foods_1_CA_2 = Hobbies_CA_2.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Hobbies_CA_2.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Hobbies_CA_2.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Hobbies_CA_2.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Hobbies_CA_2.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Hobbies_CA_2.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Hobbies_CA_2.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Hobbies_CA_2.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Hobbies_CA_2.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Hobbies_CA_2.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Hobbies_CA_2.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Hobbies_CA_2.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Hobbies_CA_2.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Hobbies_CA_2.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_2.l1 3.426e-05 8.941e-03 0.004 0.996943
## Household_1_CA_2.l1 -2.559e-03 1.667e-02 -0.153 0.878045
## Household_2_CA_2.l1 1.241e-02 2.140e-02 0.580 0.561940
## Foods_1_CA_2.l1 2.705e-01 2.526e-02 10.709 < 2e-16 ***
## Foods_2_CA_2.l1 1.450e-02 1.830e-02 0.793 0.428169
## Foods_3_CA_2.l1 4.452e-03 4.980e-03 0.894 0.371503
## Hobbies_CA_2.l2 -4.407e-03 8.952e-03 -0.492 0.622582
## Household_1_CA_2.l2 1.524e-02 1.712e-02 0.890 0.373475
## Household_2_CA_2.l2 5.820e-03 2.161e-02 0.269 0.787720
## Foods_1_CA_2.l2 1.002e-01 2.622e-02 3.821 0.000137 ***
## Foods_2_CA_2.l2 -1.945e-02 1.887e-02 -1.031 0.302824
## Foods_3_CA_2.l2 -5.760e-03 5.165e-03 -1.115 0.264944
## Hobbies_CA_2.l3 -9.759e-03 8.983e-03 -1.086 0.277422
## Household_1_CA_2.l3 1.616e-02 1.724e-02 0.938 0.348538
## Household_2_CA_2.l3 1.110e-02 2.167e-02 0.512 0.608506
## Foods_1_CA_2.l3 3.910e-02 2.632e-02 1.486 0.137560
## Foods_2_CA_2.l3 -1.036e-02 1.898e-02 -0.546 0.585251
## Foods_3_CA_2.l3 -1.159e-03 5.200e-03 -0.223 0.823592
## Hobbies_CA_2.l4 -3.449e-04 9.020e-03 -0.038 0.969501
## Household_1_CA_2.l4 1.119e-03 1.728e-02 0.065 0.948373
## Household_2_CA_2.l4 -7.030e-02 2.177e-02 -3.229 0.001264 **
## Foods_1_CA_2.l4 5.737e-02 2.631e-02 2.181 0.029321 *
## Foods_2_CA_2.l4 -3.711e-02 1.900e-02 -1.954 0.050905 .
## Foods_3_CA_2.l4 1.068e-02 5.206e-03 2.053 0.040260 *
## Hobbies_CA_2.l5 2.133e-03 9.037e-03 0.236 0.813426
## Household_1_CA_2.l5 7.079e-03 1.728e-02 0.410 0.682131
## Household_2_CA_2.l5 7.703e-03 2.185e-02 0.353 0.724409
## Foods_1_CA_2.l5 5.140e-02 2.652e-02 1.938 0.052780 .
## Foods_2_CA_2.l5 -1.977e-02 1.898e-02 -1.042 0.297654
## Foods_3_CA_2.l5 -2.079e-03 5.220e-03 -0.398 0.690533
## Hobbies_CA_2.l6 -3.460e-03 9.006e-03 -0.384 0.700928
## Household_1_CA_2.l6 1.382e-02 1.729e-02 0.800 0.424043
## Household_2_CA_2.l6 -2.479e-02 2.184e-02 -1.135 0.256361
## Foods_1_CA_2.l6 1.511e-01 2.648e-02 5.707 1.34e-08 ***
## Foods_2_CA_2.l6 1.746e-02 1.895e-02 0.921 0.356985
## Foods_3_CA_2.l6 -2.959e-03 5.232e-03 -0.566 0.571792
## Hobbies_CA_2.l7 -7.247e-03 8.992e-03 -0.806 0.420414
## Household_1_CA_2.l7 5.802e-02 1.729e-02 3.355 0.000809 ***
## Household_2_CA_2.l7 -4.872e-02 2.180e-02 -2.235 0.025565 *
## Foods_1_CA_2.l7 2.475e-01 2.665e-02 9.289 < 2e-16 ***
## Foods_2_CA_2.l7 -6.182e-03 1.899e-02 -0.325 0.744853
## Foods_3_CA_2.l7 8.906e-03 5.241e-03 1.699 0.089430 .
## Hobbies_CA_2.l8 1.805e-03 8.981e-03 0.201 0.840770
## Household_1_CA_2.l8 -5.107e-02 1.751e-02 -2.917 0.003571 **
## Household_2_CA_2.l8 4.286e-02 2.177e-02 1.969 0.049094 *
## Foods_1_CA_2.l8 2.337e-03 2.666e-02 0.088 0.930148
## Foods_2_CA_2.l8 4.870e-02 1.897e-02 2.567 0.010334 *
## Foods_3_CA_2.l8 -8.383e-03 5.243e-03 -1.599 0.110001
## Hobbies_CA_2.l9 -3.474e-03 8.946e-03 -0.388 0.697814
## Household_1_CA_2.l9 -4.409e-02 1.754e-02 -2.513 0.012045 *
## Household_2_CA_2.l9 -2.613e-02 2.180e-02 -1.198 0.230909
## Foods_1_CA_2.l9 -6.475e-02 2.649e-02 -2.444 0.014611 *
## Foods_2_CA_2.l9 8.278e-03 1.892e-02 0.438 0.661790
## Foods_3_CA_2.l9 8.194e-03 5.247e-03 1.562 0.118573
## Hobbies_CA_2.l10 1.513e-02 8.917e-03 1.697 0.089930 .
## Household_1_CA_2.l10 7.971e-03 1.755e-02 0.454 0.649714
## Household_2_CA_2.l10 2.045e-02 2.187e-02 0.935 0.349751
## Foods_1_CA_2.l10 -5.822e-02 2.655e-02 -2.193 0.028408 *
## Foods_2_CA_2.l10 8.084e-03 1.891e-02 0.427 0.669070
## Foods_3_CA_2.l10 -5.790e-03 5.246e-03 -1.104 0.269903
## Hobbies_CA_2.l11 7.727e-03 8.886e-03 0.870 0.384668
## Household_1_CA_2.l11 2.422e-02 1.755e-02 1.380 0.167633
## Household_2_CA_2.l11 2.010e-02 2.184e-02 0.921 0.357336
## Foods_1_CA_2.l11 -3.740e-02 2.651e-02 -1.411 0.158493
## Foods_2_CA_2.l11 -7.615e-03 1.889e-02 -0.403 0.686994
## Foods_3_CA_2.l11 -2.781e-03 5.240e-03 -0.531 0.595674
## Hobbies_CA_2.l12 1.293e-02 8.852e-03 1.460 0.144358
## Household_1_CA_2.l12 -2.832e-03 1.754e-02 -0.161 0.871728
## Household_2_CA_2.l12 3.251e-02 2.175e-02 1.494 0.135214
## Foods_1_CA_2.l12 -4.436e-02 2.652e-02 -1.673 0.094526 .
## Foods_2_CA_2.l12 2.431e-02 1.885e-02 1.289 0.197432
## Foods_3_CA_2.l12 -1.283e-02 5.239e-03 -2.449 0.014413 *
## Hobbies_CA_2.l13 -1.090e-02 8.826e-03 -1.235 0.217003
## Household_1_CA_2.l13 -2.732e-02 1.743e-02 -1.567 0.117216
## Household_2_CA_2.l13 2.249e-02 2.168e-02 1.038 0.299533
## Foods_1_CA_2.l13 9.738e-02 2.637e-02 3.693 0.000228 ***
## Foods_2_CA_2.l13 -4.097e-03 1.881e-02 -0.218 0.827551
## Foods_3_CA_2.l13 -2.515e-03 5.234e-03 -0.481 0.630866
## Hobbies_CA_2.l14 -5.515e-03 8.779e-03 -0.628 0.529934
## Household_1_CA_2.l14 -1.743e-03 1.689e-02 -0.103 0.917835
## Household_2_CA_2.l14 2.322e-02 2.136e-02 1.087 0.277192
## Foods_1_CA_2.l14 1.818e-01 2.542e-02 7.150 1.24e-12 ***
## Foods_2_CA_2.l14 -6.701e-03 1.820e-02 -0.368 0.712843
## Foods_3_CA_2.l14 7.207e-03 5.020e-03 1.435 0.151327
## const -1.532e+00 4.684e+00 -0.327 0.743647
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 17.52 on 1870 degrees of freedom
## Multiple R-Squared: 0.9049, Adjusted R-squared: 0.9006
## F-statistic: 211.7 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_2:
## =============================================
## Foods_2_CA_2 = Hobbies_CA_2.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Hobbies_CA_2.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Hobbies_CA_2.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Hobbies_CA_2.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Hobbies_CA_2.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Hobbies_CA_2.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Hobbies_CA_2.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Hobbies_CA_2.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Hobbies_CA_2.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Hobbies_CA_2.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Hobbies_CA_2.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Hobbies_CA_2.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Hobbies_CA_2.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Hobbies_CA_2.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_2.l1 0.0263851 0.0158611 1.664 0.09638 .
## Household_1_CA_2.l1 -0.0498566 0.0295804 -1.685 0.09207 .
## Household_2_CA_2.l1 -0.0226612 0.0379566 -0.597 0.55056
## Foods_1_CA_2.l1 -0.0466996 0.0448021 -1.042 0.29738
## Foods_2_CA_2.l1 0.3160652 0.0324598 9.737 < 2e-16 ***
## Foods_3_CA_2.l1 0.0062661 0.0088352 0.709 0.47828
## Hobbies_CA_2.l2 -0.0249038 0.0158797 -1.568 0.11698
## Household_1_CA_2.l2 -0.0303553 0.0303709 -0.999 0.31769
## Household_2_CA_2.l2 -0.0674595 0.0383339 -1.760 0.07861 .
## Foods_1_CA_2.l2 -0.0201557 0.0465192 -0.433 0.66486
## Foods_2_CA_2.l2 0.0906683 0.0334709 2.709 0.00681 **
## Foods_3_CA_2.l2 -0.0056624 0.0091629 -0.618 0.53667
## Hobbies_CA_2.l3 -0.0372299 0.0159349 -2.336 0.01958 *
## Household_1_CA_2.l3 0.0581461 0.0305749 1.902 0.05736 .
## Household_2_CA_2.l3 -0.0090996 0.0384372 -0.237 0.81289
## Foods_1_CA_2.l3 0.0528434 0.0466921 1.132 0.25789
## Foods_2_CA_2.l3 0.0418269 0.0336658 1.242 0.21424
## Foods_3_CA_2.l3 -0.0143798 0.0092248 -1.559 0.11921
## Hobbies_CA_2.l4 -0.0325003 0.0160019 -2.031 0.04239 *
## Household_1_CA_2.l4 -0.0101715 0.0306517 -0.332 0.74005
## Household_2_CA_2.l4 -0.0616158 0.0386210 -1.595 0.11079
## Foods_1_CA_2.l4 0.0144651 0.0466706 0.310 0.75664
## Foods_2_CA_2.l4 0.0030573 0.0337016 0.091 0.92773
## Foods_3_CA_2.l4 0.0123692 0.0092348 1.339 0.18060
## Hobbies_CA_2.l5 0.0163569 0.0160320 1.020 0.30773
## Household_1_CA_2.l5 -0.0478725 0.0306561 -1.562 0.11855
## Household_2_CA_2.l5 0.0082348 0.0387533 0.212 0.83175
## Foods_1_CA_2.l5 0.0267581 0.0470466 0.569 0.56959
## Foods_2_CA_2.l5 0.0223302 0.0336645 0.663 0.50721
## Foods_3_CA_2.l5 0.0006837 0.0092603 0.074 0.94115
## Hobbies_CA_2.l6 0.0064880 0.0159769 0.406 0.68473
## Household_1_CA_2.l6 -0.0403490 0.0306659 -1.316 0.18842
## Household_2_CA_2.l6 0.0037853 0.0387375 0.098 0.92217
## Foods_1_CA_2.l6 0.1333993 0.0469695 2.840 0.00456 **
## Foods_2_CA_2.l6 0.0702181 0.0336209 2.089 0.03689 *
## Foods_3_CA_2.l6 -0.0040605 0.0092806 -0.438 0.66178
## Hobbies_CA_2.l7 -0.0031440 0.0159519 -0.197 0.84378
## Household_1_CA_2.l7 0.0933228 0.0306758 3.042 0.00238 **
## Household_2_CA_2.l7 0.0306824 0.0386777 0.793 0.42771
## Foods_1_CA_2.l7 0.0138764 0.0472733 0.294 0.76914
## Foods_2_CA_2.l7 0.1399528 0.0336913 4.154 3.41e-05 ***
## Foods_3_CA_2.l7 0.0063833 0.0092971 0.687 0.49243
## Hobbies_CA_2.l8 -0.0024723 0.0159326 -0.155 0.87670
## Household_1_CA_2.l8 -0.0956835 0.0310559 -3.081 0.00209 **
## Household_2_CA_2.l8 0.0571708 0.0386108 1.481 0.13886
## Foods_1_CA_2.l8 -0.0535156 0.0472904 -1.132 0.25793
## Foods_2_CA_2.l8 -0.0040233 0.0336546 -0.120 0.90486
## Foods_3_CA_2.l8 0.0072969 0.0093001 0.785 0.43279
## Hobbies_CA_2.l9 0.0131165 0.0158705 0.826 0.40864
## Household_1_CA_2.l9 -0.0297485 0.0311202 -0.956 0.33924
## Household_2_CA_2.l9 -0.0805785 0.0386799 -2.083 0.03737 *
## Foods_1_CA_2.l9 0.0349640 0.0469958 0.744 0.45698
## Foods_2_CA_2.l9 -0.0393877 0.0335660 -1.173 0.24077
## Foods_3_CA_2.l9 0.0113867 0.0093086 1.223 0.22139
## Hobbies_CA_2.l10 0.0316802 0.0158191 2.003 0.04536 *
## Household_1_CA_2.l10 0.0328947 0.0311307 1.057 0.29080
## Household_2_CA_2.l10 0.0228280 0.0387889 0.589 0.55625
## Foods_1_CA_2.l10 0.0294667 0.0470920 0.626 0.53157
## Foods_2_CA_2.l10 0.0601242 0.0335481 1.792 0.07327 .
## Foods_3_CA_2.l10 -0.0144169 0.0093063 -1.549 0.12151
## Hobbies_CA_2.l11 0.0064042 0.0157639 0.406 0.68460
## Household_1_CA_2.l11 0.0133832 0.0311311 0.430 0.66732
## Household_2_CA_2.l11 0.0024021 0.0387352 0.062 0.95056
## Foods_1_CA_2.l11 -0.0754671 0.0470300 -1.605 0.10874
## Foods_2_CA_2.l11 0.0359209 0.0335185 1.072 0.28400
## Foods_3_CA_2.l11 -0.0149017 0.0092954 -1.603 0.10908
## Hobbies_CA_2.l12 0.0308299 0.0157038 1.963 0.04977 *
## Household_1_CA_2.l12 -0.0194560 0.0311117 -0.625 0.53181
## Household_2_CA_2.l12 0.0167631 0.0385886 0.434 0.66404
## Foods_1_CA_2.l12 -0.0610794 0.0470366 -1.299 0.19426
## Foods_2_CA_2.l12 0.0079865 0.0334476 0.239 0.81130
## Foods_3_CA_2.l12 0.0005111 0.0092930 0.055 0.95615
## Hobbies_CA_2.l13 -0.0165970 0.0156575 -1.060 0.28928
## Household_1_CA_2.l13 0.0444449 0.0309273 1.437 0.15086
## Household_2_CA_2.l13 -0.0647814 0.0384512 -1.685 0.09220 .
## Foods_1_CA_2.l13 0.0954594 0.0467726 2.041 0.04140 *
## Foods_2_CA_2.l13 0.0467725 0.0333601 1.402 0.16107
## Foods_3_CA_2.l13 0.0062066 0.0092846 0.668 0.50390
## Hobbies_CA_2.l14 -0.0074040 0.0155734 -0.475 0.63454
## Household_1_CA_2.l14 0.0661770 0.0299626 2.209 0.02732 *
## Household_2_CA_2.l14 0.1137767 0.0378881 3.003 0.00271 **
## Foods_1_CA_2.l14 -0.0150681 0.0450970 -0.334 0.73832
## Foods_2_CA_2.l14 0.0272902 0.0322935 0.845 0.39818
## Foods_3_CA_2.l14 0.0106443 0.0089060 1.195 0.23216
## const 22.9007202 8.3084151 2.756 0.00590 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 31.08 on 1870 degrees of freedom
## Multiple R-Squared: 0.7484, Adjusted R-squared: 0.7371
## F-statistic: 66.24 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_2:
## =============================================
## Foods_3_CA_2 = Hobbies_CA_2.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Hobbies_CA_2.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Hobbies_CA_2.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Hobbies_CA_2.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Hobbies_CA_2.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Hobbies_CA_2.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Hobbies_CA_2.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Hobbies_CA_2.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Hobbies_CA_2.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Hobbies_CA_2.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Hobbies_CA_2.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Hobbies_CA_2.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Hobbies_CA_2.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Hobbies_CA_2.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_2.l1 0.122894 0.069192 1.776 0.075872 .
## Household_1_CA_2.l1 -0.249754 0.129040 -1.935 0.053082 .
## Household_2_CA_2.l1 -0.087251 0.165580 -0.527 0.598296
## Foods_1_CA_2.l1 -0.038955 0.195442 -0.199 0.842038
## Foods_2_CA_2.l1 0.321975 0.141601 2.274 0.023090 *
## Foods_3_CA_2.l1 0.269256 0.038542 6.986 3.92e-12 ***
## Hobbies_CA_2.l2 -0.137485 0.069272 -1.985 0.047324 *
## Household_1_CA_2.l2 -0.389393 0.132488 -2.939 0.003332 **
## Household_2_CA_2.l2 -0.280485 0.167226 -1.677 0.093654 .
## Foods_1_CA_2.l2 0.002303 0.202933 0.011 0.990945
## Foods_2_CA_2.l2 -0.109822 0.146012 -0.752 0.452057
## Foods_3_CA_2.l2 0.114352 0.039972 2.861 0.004273 **
## Hobbies_CA_2.l3 -0.092956 0.069513 -1.337 0.181308
## Household_1_CA_2.l3 0.382995 0.133378 2.871 0.004131 **
## Household_2_CA_2.l3 -0.070612 0.167676 -0.421 0.673717
## Foods_1_CA_2.l3 0.320305 0.203687 1.573 0.115995
## Foods_2_CA_2.l3 -0.185171 0.146862 -1.261 0.207520
## Foods_3_CA_2.l3 -0.014049 0.040242 -0.349 0.727036
## Hobbies_CA_2.l4 -0.093233 0.069806 -1.336 0.181841
## Household_1_CA_2.l4 -0.114103 0.133713 -0.853 0.393579
## Household_2_CA_2.l4 -0.448678 0.168478 -2.663 0.007808 **
## Foods_1_CA_2.l4 0.154806 0.203593 0.760 0.447129
## Foods_2_CA_2.l4 -0.255914 0.147018 -1.741 0.081901 .
## Foods_3_CA_2.l4 0.103066 0.040286 2.558 0.010594 *
## Hobbies_CA_2.l5 0.065752 0.069937 0.940 0.347258
## Household_1_CA_2.l5 -0.246094 0.133733 -1.840 0.065898 .
## Household_2_CA_2.l5 -0.205829 0.169055 -1.218 0.223559
## Foods_1_CA_2.l5 -0.049202 0.205233 -0.240 0.810559
## Foods_2_CA_2.l5 -0.092865 0.146856 -0.632 0.527232
## Foods_3_CA_2.l5 0.059342 0.040397 1.469 0.142003
## Hobbies_CA_2.l6 0.037711 0.069697 0.541 0.588521
## Household_1_CA_2.l6 -0.015053 0.133775 -0.113 0.910422
## Household_2_CA_2.l6 -0.135039 0.168986 -0.799 0.424327
## Foods_1_CA_2.l6 0.188324 0.204897 0.919 0.358154
## Foods_2_CA_2.l6 0.021964 0.146666 0.150 0.880973
## Foods_3_CA_2.l6 0.041507 0.040485 1.025 0.305381
## Hobbies_CA_2.l7 -0.047891 0.069587 -0.688 0.491405
## Household_1_CA_2.l7 0.692235 0.133818 5.173 2.55e-07 ***
## Household_2_CA_2.l7 0.123736 0.168726 0.733 0.463433
## Foods_1_CA_2.l7 0.258683 0.206222 1.254 0.209857
## Foods_2_CA_2.l7 -0.020800 0.146973 -0.142 0.887474
## Foods_3_CA_2.l7 0.154989 0.040557 3.821 0.000137 ***
## Hobbies_CA_2.l8 -0.005439 0.069504 -0.078 0.937630
## Household_1_CA_2.l8 -0.341512 0.135477 -2.521 0.011791 *
## Household_2_CA_2.l8 0.282750 0.168434 1.679 0.093377 .
## Foods_1_CA_2.l8 -0.156965 0.206297 -0.761 0.446830
## Foods_2_CA_2.l8 -0.067367 0.146813 -0.459 0.646385
## Foods_3_CA_2.l8 0.054572 0.040570 1.345 0.178746
## Hobbies_CA_2.l9 0.056490 0.069233 0.816 0.414634
## Household_1_CA_2.l9 -0.337514 0.135757 -2.486 0.013000 *
## Household_2_CA_2.l9 -0.344565 0.168735 -2.042 0.041287 *
## Foods_1_CA_2.l9 0.153231 0.205012 0.747 0.454901
## Foods_2_CA_2.l9 -0.142966 0.146427 -0.976 0.329008
## Foods_3_CA_2.l9 0.049283 0.040607 1.214 0.225034
## Hobbies_CA_2.l10 0.103445 0.069008 1.499 0.134037
## Household_1_CA_2.l10 0.204194 0.135803 1.504 0.132852
## Household_2_CA_2.l10 0.041765 0.169211 0.247 0.805073
## Foods_1_CA_2.l10 -0.059101 0.205431 -0.288 0.773614
## Foods_2_CA_2.l10 0.292315 0.146348 1.997 0.045927 *
## Foods_3_CA_2.l10 -0.086024 0.040597 -2.119 0.034224 *
## Hobbies_CA_2.l11 0.015174 0.068767 0.221 0.825385
## Household_1_CA_2.l11 0.037548 0.135805 0.276 0.782205
## Household_2_CA_2.l11 0.058472 0.168976 0.346 0.729352
## Foods_1_CA_2.l11 -0.252842 0.205161 -1.232 0.217953
## Foods_2_CA_2.l11 -0.025903 0.146219 -0.177 0.859410
## Foods_3_CA_2.l11 -0.005441 0.040550 -0.134 0.893272
## Hobbies_CA_2.l12 0.115210 0.068506 1.682 0.092781 .
## Household_1_CA_2.l12 -0.041095 0.135720 -0.303 0.762082
## Household_2_CA_2.l12 0.222599 0.168337 1.322 0.186214
## Foods_1_CA_2.l12 -0.222850 0.205190 -1.086 0.277589
## Foods_2_CA_2.l12 0.179980 0.145910 1.233 0.217545
## Foods_3_CA_2.l12 -0.038862 0.040539 -0.959 0.337871
## Hobbies_CA_2.l13 -0.044295 0.068303 -0.649 0.516733
## Household_1_CA_2.l13 0.151132 0.134915 1.120 0.262771
## Household_2_CA_2.l13 0.116190 0.167737 0.693 0.488590
## Foods_1_CA_2.l13 0.264814 0.204038 1.298 0.194494
## Foods_2_CA_2.l13 -0.065853 0.145528 -0.453 0.650955
## Foods_3_CA_2.l13 0.056810 0.040503 1.403 0.160897
## Hobbies_CA_2.l14 -0.013828 0.067937 -0.204 0.838729
## Household_1_CA_2.l14 0.461091 0.130707 3.528 0.000429 ***
## Household_2_CA_2.l14 0.456978 0.165281 2.765 0.005751 **
## Foods_1_CA_2.l14 -0.093455 0.196729 -0.475 0.634811
## Foods_2_CA_2.l14 -0.039086 0.140875 -0.277 0.781467
## Foods_3_CA_2.l14 0.150794 0.038851 3.881 0.000107 ***
## const 81.780123 36.244153 2.256 0.024163 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 135.6 on 1870 degrees of freedom
## Multiple R-Squared: 0.8372, Adjusted R-squared: 0.8298
## F-statistic: 114.4 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
##
## Covariance matrix of residuals:
## Hobbies_CA_2 Household_1_CA_2 Household_2_CA_2 Foods_1_CA_2
## Hobbies_CA_2 2354.1 419.2 322.6 178.5
## Household_1_CA_2 419.2 948.7 352.1 192.1
## Household_2_CA_2 322.6 352.1 535.9 120.0
## Foods_1_CA_2 178.5 192.1 120.0 307.0
## Foods_2_CA_2 381.9 376.4 265.4 157.3
## Foods_3_CA_2 2215.6 2380.1 1659.3 956.8
## Foods_2_CA_2 Foods_3_CA_2
## Hobbies_CA_2 381.9 2215.6
## Household_1_CA_2 376.4 2380.1
## Household_2_CA_2 265.4 1659.3
## Foods_1_CA_2 157.3 956.8
## Foods_2_CA_2 966.1 2961.7
## Foods_3_CA_2 2961.7 18385.0
##
## Correlation matrix of residuals:
## Hobbies_CA_2 Household_1_CA_2 Household_2_CA_2 Foods_1_CA_2
## Hobbies_CA_2 1.0000 0.2805 0.2873 0.2100
## Household_1_CA_2 0.2805 1.0000 0.4938 0.3561
## Household_2_CA_2 0.2873 0.4938 1.0000 0.2957
## Foods_1_CA_2 0.2100 0.3561 0.2957 1.0000
## Foods_2_CA_2 0.2533 0.3932 0.3689 0.2888
## Foods_3_CA_2 0.3368 0.5699 0.5286 0.4027
## Foods_2_CA_2 Foods_3_CA_2
## Hobbies_CA_2 0.2533 0.3368
## Household_1_CA_2 0.3932 0.5699
## Household_2_CA_2 0.3689 0.5286
## Foods_1_CA_2 0.2888 0.4027
## Foods_2_CA_2 1.0000 0.7027
## Foods_3_CA_2 0.7027 1.0000Serial2 <- serial.test(Model2, lags.pt = 5, type = "PT.asymptotic")## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs produced## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs producedSerial2##
## Portmanteau Test (asymptotic)
##
## data: Residuals of VAR object Model2
## Chi-squared = 9.4965, df = -324, p-value = NAArch2 <- arch.test(Model2, lags.multi = 15, multivariate.only = TRUE)
Arch2##
## ARCH (multivariate)
##
## data: Residuals of VAR object Model2
## Chi-squared = 9069, df = 6615, p-value < 2.2e-16Norm2 <- normality.test(Model2, multivariate.only = TRUE)
Norm2## $JB
##
## JB-Test (multivariate)
##
## data: Residuals of VAR object Model2
## Chi-squared = 7962.1, df = 12, p-value < 2.2e-16
##
##
## $Skewness
##
## Skewness only (multivariate)
##
## data: Residuals of VAR object Model2
## Chi-squared = 208.05, df = 6, p-value < 2.2e-16
##
##
## $Kurtosis
##
## Kurtosis only (multivariate)
##
## data: Residuals of VAR object Model2
## Chi-squared = 7754, df = 6, p-value < 2.2e-16Stability2 <- stability(Model2, type = "OLS-CUSUM")
plot(Stability2)
forecast <- predict(Model2, n.ahead = 28, ci = 0.95)
fanchart(forecast, names = "Hobbies_CA_2", main = "Fanchart for Hobbies_CA_2", xlab = "Horizon", ylab = "Hobbies_CA_2")
fanchart(forecast, names = "Household_1_CA_2", main = "Fanchart for Household_1_CA_2", xlab = "Horizon", ylab = "Household_1_CA_2")
fanchart(forecast, names = "Household_2_CA_2", main = "Fanchart for Household_2_CA_2", xlab = "Horizon", ylab = "Household_2_CA_2")
fanchart(forecast, names = "Foods_1_CA_2", main = "Fanchart for Foods_1_CA_2", xlab = "Horizon", ylab = "Foods_1_CA_2")
fanchart(forecast, names = "Foods_2_CA_2", main = "Fanchart for Foods_2_CA_2", xlab = "Horizon", ylab = "Foods_2_CA_2")
fanchart(forecast, names = "Foods_3_CA_2", main = "Fanchart for Foods_3_CA_2", xlab = "Horizon", ylab = "Foods_3_CA_2")
result_2 = forecast$fcst$Hobbies_CA_2+forecast$fcst$Household_1_CA_2+forecast$fcst$Household_2_CA_2+forecast$fcst$Foods_1_CA_2+forecast$fcst$Foods_2_CA_2+forecast$fcst$Foods_3_CA_2
print(result_2)## fcst lower upper CI
## [1,] 2662.320 2100.468 3224.172 561.8521
## [2,] 2365.248 1784.368 2946.128 580.8799
## [3,] 2415.566 1829.061 3002.071 586.5049
## [4,] 2405.005 1816.252 2993.758 588.7529
## [5,] 2879.674 2287.486 3471.861 592.1875
## [6,] 3784.781 3189.025 4380.537 595.7563
## [7,] 3729.051 3129.528 4328.574 599.5232
## [8,] 2791.911 2163.366 3420.457 628.5456
## [9,] 2421.387 1784.564 3058.210 636.8232
## [10,] 2458.157 1816.112 3100.201 642.0443
## [11,] 2378.539 1734.850 3022.227 643.6883
## [12,] 2851.284 2206.057 3496.510 645.2264
## [13,] 3620.558 2973.393 4267.724 647.1658
## [14,] 3594.063 2941.791 4246.336 652.2727
## [15,] 2775.879 2081.654 3470.103 694.2244
## [16,] 2419.428 1715.857 3122.999 703.5713
## [17,] 2438.856 1732.595 3145.116 706.2605
## [18,] 2435.407 1727.846 3142.969 707.5613
## [19,] 2848.025 2139.095 3556.955 708.9299
## [20,] 3616.850 2906.226 4327.474 710.6241
## [21,] 3590.482 2876.319 4304.644 714.1629
## [22,] 2841.560 2105.176 3577.945 736.3844
## [23,] 2458.346 1714.363 3202.328 743.9823
## [24,] 2456.585 1709.880 3203.290 746.7050
## [25,] 2436.402 1688.364 3184.440 748.0383
## [26,] 2848.881 2099.719 3598.043 749.1619
## [27,] 3547.027 2796.703 4297.350 750.3234
## [28,] 3534.790 2780.736 4288.843 754.0534Analysis for the second store CA_3
We repeat the steps above except some parameters to get forecasts for CA_3.
Hobbies_CA_3 <- ts(sales$Hobbies_CA_3, start = c(2011,1,29), frequency = 365.25)
Household_1_CA_3 <- ts(sales$Household_1_CA_3, start = c(2011,1,29), frequency = 365.25)
Household_2_CA_3 <- ts(sales$Household_2_CA_3, start = c(2011,1,29), frequency = 365.25)
Foods_1_CA_3 <- ts(sales$Foods_1_CA_3, start = c(2011,1,29), frequency = 365.25)
Foods_2_CA_3 <- ts(sales$Foods_2_CA_3, start = c(2011,1,29), frequency = 365.25)
Foods_3_CA_3 <- ts(sales$Foods_3_CA_3, start = c(2011,1,29), frequency = 365.25)
ts_plot(Hobbies_CA_3)ts_plot(Household_1_CA_3)ts_plot(Household_2_CA_3)ts_plot(Foods_1_CA_3)ts_plot(Foods_2_CA_3)ts_plot(Foods_3_CA_3)pp.test(Hobbies_CA_3)## Warning in pp.test(Hobbies_CA_3): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Hobbies_CA_3
## Dickey-Fuller Z(alpha) = -1583.1, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Household_1_CA_3)## Warning in pp.test(Household_1_CA_3): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Household_1_CA_3
## Dickey-Fuller Z(alpha) = -889.23, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Household_2_CA_3)## Warning in pp.test(Household_2_CA_3): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Household_2_CA_3
## Dickey-Fuller Z(alpha) = -1134.2, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_1_CA_3)## Warning in pp.test(Foods_1_CA_3): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_1_CA_3
## Dickey-Fuller Z(alpha) = -946.75, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_2_CA_3)## Warning in pp.test(Foods_2_CA_3): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_2_CA_3
## Dickey-Fuller Z(alpha) = -515.39, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationarypp.test(Foods_3_CA_3)## Warning in pp.test(Foods_3_CA_3): p-value smaller than printed p-value##
## Phillips-Perron Unit Root Test
##
## data: Foods_3_CA_3
## Dickey-Fuller Z(alpha) = -620.44, Truncation lag parameter = 8, p-value
## = 0.01
## alternative hypothesis: stationaryv3 <- cbind(Hobbies_CA_3, Household_1_CA_3, Household_2_CA_3, Foods_1_CA_3, Foods_2_CA_3, Foods_3_CA_3)
colnames(v3) <- cbind("Hobbies_CA_3","Household_1_CA_3","Household_2_CA_3", "Foods_1_CA_3", 'Foods_2_CA_3', 'Foods_3_CA_3')
lagselect <- VARselect(v3, lag.max = 60, type = "const")
lagselect$selection## AIC(n) HQ(n) SC(n) FPE(n)
## 14 7 7 14Model3 <- VAR(v3, p = 14, type = "const", season = NULL, exog = NULL)
summary(Model3)##
## VAR Estimation Results:
## =========================
## Endogenous variables: Hobbies_CA_3, Household_1_CA_3, Household_2_CA_3, Foods_1_CA_3, Foods_2_CA_3, Foods_3_CA_3
## Deterministic variables: const
## Sample size: 1955
## Log Likelihood: -62907.549
## Roots of the characteristic polynomial:
## 0.9958 0.9917 0.9917 0.9852 0.9852 0.9771 0.9635 0.9635 0.9485 0.9311 0.9311 0.9031 0.9031 0.8913 0.8889 0.8889 0.8874 0.8874 0.8829 0.8829 0.8785 0.8785 0.875 0.875 0.8699 0.8699 0.8623 0.8623 0.8617 0.8617 0.8589 0.8589 0.8587 0.8587 0.8532 0.8532 0.8529 0.8529 0.8496 0.8496 0.8373 0.8373 0.8365 0.8365 0.8362 0.8362 0.83 0.83 0.8286 0.8257 0.8257 0.824 0.824 0.8209 0.8209 0.8147 0.8147 0.8133 0.8133 0.8127 0.8127 0.8121 0.8121 0.808 0.808 0.8077 0.8077 0.7947 0.7947 0.7947 0.7947 0.793 0.793 0.7853 0.7853 0.7837 0.7837 0.757 0.6854 0.6854 0.643 0.643 0.4499 0.4206
## Call:
## VAR(y = v3, p = 14, type = "const", exogen = NULL)
##
##
## Estimation results for equation Hobbies_CA_3:
## =============================================
## Hobbies_CA_3 = Hobbies_CA_3.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_3.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_3.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_3.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_3.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_3.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_3.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Hobbies_CA_3.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Hobbies_CA_3.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Hobbies_CA_3.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Hobbies_CA_3.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Hobbies_CA_3.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Hobbies_CA_3.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Hobbies_CA_3.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_3.l1 0.1078292 0.0253667 4.251 2.23e-05 ***
## Household_1_CA_3.l1 0.1249589 0.0397507 3.144 0.001695 **
## Household_2_CA_3.l1 0.0101571 0.0712250 0.143 0.886617
## Foods_1_CA_3.l1 0.0448363 0.0566037 0.792 0.428397
## Foods_2_CA_3.l1 -0.0304260 0.0273333 -1.113 0.265788
## Foods_3_CA_3.l1 -0.0013975 0.0099658 -0.140 0.888494
## Hobbies_CA_3.l2 0.0598512 0.0255100 2.346 0.019071 *
## Household_1_CA_3.l2 -0.0854960 0.0420798 -2.032 0.042319 *
## Household_2_CA_3.l2 0.0097944 0.0720621 0.136 0.891903
## Foods_1_CA_3.l2 0.0121618 0.0596412 0.204 0.838442
## Foods_2_CA_3.l2 0.0304386 0.0299614 1.016 0.309795
## Foods_3_CA_3.l2 -0.0154551 0.0108534 -1.424 0.154616
## Hobbies_CA_3.l3 0.0380281 0.0254936 1.492 0.135954
## Household_1_CA_3.l3 0.0129971 0.0423162 0.307 0.758769
## Household_2_CA_3.l3 -0.0356298 0.0722133 -0.493 0.621790
## Foods_1_CA_3.l3 0.0320664 0.0598227 0.536 0.592005
## Foods_2_CA_3.l3 0.0013125 0.0301619 0.044 0.965297
## Foods_3_CA_3.l3 -0.0141360 0.0109414 -1.292 0.196524
## Hobbies_CA_3.l4 0.1428311 0.0254922 5.603 2.42e-08 ***
## Household_1_CA_3.l4 -0.0919537 0.0422882 -2.174 0.029796 *
## Household_2_CA_3.l4 -0.0300642 0.0723446 -0.416 0.677773
## Foods_1_CA_3.l4 0.0543119 0.0597170 0.909 0.363210
## Foods_2_CA_3.l4 -0.0093712 0.0301816 -0.310 0.756221
## Foods_3_CA_3.l4 0.0057894 0.0109370 0.529 0.596629
## Hobbies_CA_3.l5 0.0512510 0.0257438 1.991 0.046647 *
## Household_1_CA_3.l5 -0.0003018 0.0423101 -0.007 0.994310
## Household_2_CA_3.l5 -0.0944580 0.0724181 -1.304 0.192277
## Foods_1_CA_3.l5 -0.0159101 0.0595431 -0.267 0.789343
## Foods_2_CA_3.l5 0.0225820 0.0302108 0.747 0.454867
## Foods_3_CA_3.l5 -0.0168201 0.0109554 -1.535 0.124873
## Hobbies_CA_3.l6 0.0362691 0.0257359 1.409 0.158919
## Household_1_CA_3.l6 0.0853077 0.0423413 2.015 0.044072 *
## Household_2_CA_3.l6 0.0595226 0.0725039 0.821 0.411775
## Foods_1_CA_3.l6 -0.0233584 0.0597360 -0.391 0.695822
## Foods_2_CA_3.l6 -0.0194571 0.0302020 -0.644 0.519504
## Foods_3_CA_3.l6 0.0028358 0.0109623 0.259 0.795902
## Hobbies_CA_3.l7 0.0772489 0.0257789 2.997 0.002766 **
## Household_1_CA_3.l7 0.0270657 0.0424301 0.638 0.523624
## Household_2_CA_3.l7 0.1109995 0.0732438 1.515 0.129820
## Foods_1_CA_3.l7 0.0417730 0.0597809 0.699 0.484784
## Foods_2_CA_3.l7 0.0014725 0.0302403 0.049 0.961170
## Foods_3_CA_3.l7 0.0088787 0.0109649 0.810 0.418196
## Hobbies_CA_3.l8 0.0091717 0.0258175 0.355 0.722441
## Household_1_CA_3.l8 -0.0212684 0.0423204 -0.503 0.615334
## Household_2_CA_3.l8 -0.0595685 0.0733135 -0.813 0.416599
## Foods_1_CA_3.l8 -0.0869020 0.0597331 -1.455 0.145882
## Foods_2_CA_3.l8 0.0288233 0.0302521 0.953 0.340830
## Foods_3_CA_3.l8 -0.0008353 0.0109448 -0.076 0.939174
## Hobbies_CA_3.l9 0.0200348 0.0257665 0.778 0.436933
## Household_1_CA_3.l9 0.0340528 0.0422103 0.807 0.419918
## Household_2_CA_3.l9 -0.0749760 0.0726921 -1.031 0.302478
## Foods_1_CA_3.l9 -0.0950322 0.0598673 -1.587 0.112595
## Foods_2_CA_3.l9 0.0012740 0.0302459 0.042 0.966407
## Foods_3_CA_3.l9 -0.0017667 0.0108851 -0.162 0.871083
## Hobbies_CA_3.l10 0.0030183 0.0257160 0.117 0.906578
## Household_1_CA_3.l10 0.0118028 0.0421128 0.280 0.779304
## Household_2_CA_3.l10 0.0328373 0.0726614 0.452 0.651377
## Foods_1_CA_3.l10 0.0435657 0.0594228 0.733 0.463560
## Foods_2_CA_3.l10 -0.0290805 0.0302605 -0.961 0.336673
## Foods_3_CA_3.l10 0.0140362 0.0108858 1.289 0.197416
## Hobbies_CA_3.l11 0.0103409 0.0254837 0.406 0.684948
## Household_1_CA_3.l11 -0.0106866 0.0419817 -0.255 0.799097
## Household_2_CA_3.l11 -0.1134404 0.0725857 -1.563 0.118257
## Foods_1_CA_3.l11 -0.0038658 0.0593414 -0.065 0.948065
## Foods_2_CA_3.l11 0.0098142 0.0302202 0.325 0.745403
## Foods_3_CA_3.l11 -0.0005991 0.0108834 -0.055 0.956109
## Hobbies_CA_3.l12 0.0604292 0.0254348 2.376 0.017609 *
## Household_1_CA_3.l12 -0.0128400 0.0419582 -0.306 0.759625
## Household_2_CA_3.l12 0.0456068 0.0726052 0.628 0.529984
## Foods_1_CA_3.l12 -0.0260148 0.0593269 -0.438 0.661075
## Foods_2_CA_3.l12 -0.0210832 0.0301786 -0.699 0.484879
## Foods_3_CA_3.l12 -0.0045315 0.0108550 -0.417 0.676390
## Hobbies_CA_3.l13 0.0583831 0.0253810 2.300 0.021543 *
## Household_1_CA_3.l13 0.0498110 0.0417608 1.193 0.233111
## Household_2_CA_3.l13 0.0562088 0.0721999 0.779 0.436363
## Foods_1_CA_3.l13 0.0042472 0.0586220 0.072 0.942251
## Foods_2_CA_3.l13 0.0046431 0.0300762 0.154 0.877329
## Foods_3_CA_3.l13 0.0047400 0.0107717 0.440 0.659961
## Hobbies_CA_3.l14 0.1172453 0.0251303 4.665 3.30e-06 ***
## Household_1_CA_3.l14 0.0371294 0.0393607 0.943 0.345644
## Household_2_CA_3.l14 0.1667230 0.0707317 2.357 0.018520 *
## Foods_1_CA_3.l14 -0.0510024 0.0552634 -0.923 0.356180
## Foods_2_CA_3.l14 -0.0035134 0.0272893 -0.129 0.897571
## Foods_3_CA_3.l14 0.0040240 0.0098705 0.408 0.683558
## const 58.8822819 17.4067191 3.383 0.000732 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 66.46 on 1870 degrees of freedom
## Multiple R-Squared: 0.5609, Adjusted R-squared: 0.5411
## F-statistic: 28.43 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_3:
## =================================================
## Household_1_CA_3 = Hobbies_CA_3.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_3.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_3.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_3.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_3.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_3.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_3.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Hobbies_CA_3.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Hobbies_CA_3.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Hobbies_CA_3.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Hobbies_CA_3.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Hobbies_CA_3.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Hobbies_CA_3.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Hobbies_CA_3.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_3.l1 -0.0310759 0.0184022 -1.689 0.091442 .
## Household_1_CA_3.l1 0.3817327 0.0288370 13.238 < 2e-16 ***
## Household_2_CA_3.l1 -0.0232380 0.0516700 -0.450 0.652951
## Foods_1_CA_3.l1 0.0504632 0.0410630 1.229 0.219256
## Foods_2_CA_3.l1 -0.0240292 0.0198289 -1.212 0.225732
## Foods_3_CA_3.l1 -0.0133620 0.0072297 -1.848 0.064730 .
## Hobbies_CA_3.l2 0.0221915 0.0185062 1.199 0.230625
## Household_1_CA_3.l2 0.0152372 0.0305267 0.499 0.617737
## Household_2_CA_3.l2 -0.0456068 0.0522773 -0.872 0.383102
## Foods_1_CA_3.l2 0.0052472 0.0432666 0.121 0.903486
## Foods_2_CA_3.l2 0.0419711 0.0217354 1.931 0.053634 .
## Foods_3_CA_3.l2 -0.0110669 0.0078736 -1.406 0.160016
## Hobbies_CA_3.l3 0.0206657 0.0184943 1.117 0.263964
## Household_1_CA_3.l3 -0.0343699 0.0306982 -1.120 0.263024
## Household_2_CA_3.l3 -0.0215444 0.0523869 -0.411 0.680933
## Foods_1_CA_3.l3 0.0539420 0.0433982 1.243 0.214040
## Foods_2_CA_3.l3 -0.0414309 0.0218809 -1.893 0.058448 .
## Foods_3_CA_3.l3 0.0076939 0.0079374 0.969 0.332506
## Hobbies_CA_3.l4 -0.0019655 0.0184932 -0.106 0.915370
## Household_1_CA_3.l4 -0.0014957 0.0306779 -0.049 0.961119
## Household_2_CA_3.l4 -0.0380230 0.0524822 -0.724 0.468854
## Foods_1_CA_3.l4 -0.0256318 0.0433215 -0.592 0.554148
## Foods_2_CA_3.l4 0.0287509 0.0218952 1.313 0.189306
## Foods_3_CA_3.l4 -0.0009396 0.0079342 -0.118 0.905747
## Hobbies_CA_3.l5 -0.0070547 0.0186758 -0.378 0.705662
## Household_1_CA_3.l5 0.0528277 0.0306938 1.721 0.085394 .
## Household_2_CA_3.l5 -0.0703875 0.0525355 -1.340 0.180470
## Foods_1_CA_3.l5 -0.0549107 0.0431954 -1.271 0.203810
## Foods_2_CA_3.l5 0.0207838 0.0219163 0.948 0.343087
## Foods_3_CA_3.l5 -0.0089597 0.0079476 -1.127 0.259737
## Hobbies_CA_3.l6 0.0053034 0.0186701 0.284 0.776396
## Household_1_CA_3.l6 0.1000724 0.0307164 3.258 0.001142 **
## Household_2_CA_3.l6 0.0465498 0.0525978 0.885 0.376263
## Foods_1_CA_3.l6 0.0631894 0.0433354 1.458 0.144968
## Foods_2_CA_3.l6 0.0028029 0.0219100 0.128 0.898220
## Foods_3_CA_3.l6 0.0004403 0.0079525 0.055 0.955849
## Hobbies_CA_3.l7 0.0268917 0.0187013 1.438 0.150613
## Household_1_CA_3.l7 0.1561820 0.0307808 5.074 4.28e-07 ***
## Household_2_CA_3.l7 0.1008781 0.0531345 1.899 0.057779 .
## Foods_1_CA_3.l7 0.0094359 0.0433679 0.218 0.827783
## Foods_2_CA_3.l7 -0.0193027 0.0219378 -0.880 0.379035
## Foods_3_CA_3.l7 0.0147479 0.0079545 1.854 0.063891 .
## Hobbies_CA_3.l8 -0.0106363 0.0187292 -0.568 0.570171
## Household_1_CA_3.l8 0.0007550 0.0307012 0.025 0.980384
## Household_2_CA_3.l8 -0.0211355 0.0531851 -0.397 0.691122
## Foods_1_CA_3.l8 -0.1466672 0.0433332 -3.385 0.000727 ***
## Foods_2_CA_3.l8 0.0512771 0.0219463 2.336 0.019571 *
## Foods_3_CA_3.l8 0.0029291 0.0079399 0.369 0.712237
## Hobbies_CA_3.l9 0.0099561 0.0186923 0.533 0.594353
## Household_1_CA_3.l9 -0.0005719 0.0306214 -0.019 0.985101
## Household_2_CA_3.l9 0.0341807 0.0527343 0.648 0.516957
## Foods_1_CA_3.l9 -0.0676441 0.0434306 -1.558 0.119516
## Foods_2_CA_3.l9 0.0159665 0.0219419 0.728 0.466903
## Foods_3_CA_3.l9 -0.0132913 0.0078966 -1.683 0.092508 .
## Hobbies_CA_3.l10 0.0070780 0.0186556 0.379 0.704433
## Household_1_CA_3.l10 -0.0196346 0.0305506 -0.643 0.520504
## Household_2_CA_3.l10 -0.0519479 0.0527120 -0.986 0.324504
## Foods_1_CA_3.l10 0.0194591 0.0431081 0.451 0.651752
## Foods_2_CA_3.l10 -0.0120068 0.0219524 -0.547 0.584482
## Foods_3_CA_3.l10 0.0114008 0.0078971 1.444 0.148997
## Hobbies_CA_3.l11 0.0001932 0.0184871 0.010 0.991662
## Household_1_CA_3.l11 0.0362528 0.0304555 1.190 0.234059
## Household_2_CA_3.l11 -0.0311862 0.0526571 -0.592 0.553754
## Foods_1_CA_3.l11 -0.0924124 0.0430491 -2.147 0.031947 *
## Foods_2_CA_3.l11 -0.0125126 0.0219232 -0.571 0.568239
## Foods_3_CA_3.l11 0.0038312 0.0078953 0.485 0.627560
## Hobbies_CA_3.l12 0.0103417 0.0184516 0.560 0.575220
## Household_1_CA_3.l12 0.0061536 0.0304385 0.202 0.839810
## Household_2_CA_3.l12 -0.0459710 0.0526713 -0.873 0.382889
## Foods_1_CA_3.l12 -0.0153452 0.0430386 -0.357 0.721472
## Foods_2_CA_3.l12 -0.0023718 0.0218930 -0.108 0.913741
## Foods_3_CA_3.l12 -0.0087986 0.0078747 -1.117 0.264001
## Hobbies_CA_3.l13 0.0120663 0.0184126 0.655 0.512335
## Household_1_CA_3.l13 0.0641985 0.0302952 2.119 0.034214 *
## Household_2_CA_3.l13 0.0499080 0.0523772 0.953 0.340786
## Foods_1_CA_3.l13 0.0155684 0.0425272 0.366 0.714346
## Foods_2_CA_3.l13 -0.0302834 0.0218187 -1.388 0.165316
## Foods_3_CA_3.l13 0.0058415 0.0078143 0.748 0.454832
## Hobbies_CA_3.l14 0.0193667 0.0182307 1.062 0.288233
## Household_1_CA_3.l14 0.1568208 0.0285542 5.492 4.52e-08 ***
## Household_2_CA_3.l14 0.1373177 0.0513121 2.676 0.007513 **
## Foods_1_CA_3.l14 0.0086727 0.0400907 0.216 0.828756
## Foods_2_CA_3.l14 0.0102203 0.0197969 0.516 0.605736
## Foods_3_CA_3.l14 0.0034412 0.0071606 0.481 0.630870
## const 32.4952208 12.6276632 2.573 0.010149 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 48.22 on 1870 degrees of freedom
## Multiple R-Squared: 0.7826, Adjusted R-squared: 0.7728
## F-statistic: 80.13 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_3:
## =================================================
## Household_2_CA_3 = Hobbies_CA_3.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_3.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_3.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_3.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_3.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_3.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_3.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Hobbies_CA_3.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Hobbies_CA_3.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Hobbies_CA_3.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Hobbies_CA_3.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Hobbies_CA_3.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Hobbies_CA_3.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Hobbies_CA_3.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_3.l1 -1.707e-03 9.513e-03 -0.179 0.857609
## Household_1_CA_3.l1 5.007e-02 1.491e-02 3.359 0.000799 ***
## Household_2_CA_3.l1 1.556e-01 2.671e-02 5.827 6.64e-09 ***
## Foods_1_CA_3.l1 -2.348e-02 2.123e-02 -1.106 0.268881
## Foods_2_CA_3.l1 -2.734e-03 1.025e-02 -0.267 0.789735
## Foods_3_CA_3.l1 -1.887e-04 3.737e-03 -0.051 0.959729
## Hobbies_CA_3.l2 3.648e-03 9.566e-03 0.381 0.703032
## Household_1_CA_3.l2 -3.944e-02 1.578e-02 -2.499 0.012536 *
## Household_2_CA_3.l2 6.676e-02 2.702e-02 2.470 0.013587 *
## Foods_1_CA_3.l2 3.582e-02 2.237e-02 1.601 0.109437
## Foods_2_CA_3.l2 2.114e-03 1.124e-02 0.188 0.850748
## Foods_3_CA_3.l2 -4.911e-03 4.070e-03 -1.207 0.227755
## Hobbies_CA_3.l3 1.067e-02 9.560e-03 1.116 0.264534
## Household_1_CA_3.l3 -2.501e-02 1.587e-02 -1.576 0.115182
## Household_2_CA_3.l3 3.921e-02 2.708e-02 1.448 0.147840
## Foods_1_CA_3.l3 2.228e-02 2.243e-02 0.993 0.320866
## Foods_2_CA_3.l3 -1.323e-02 1.131e-02 -1.170 0.242181
## Foods_3_CA_3.l3 4.095e-03 4.103e-03 0.998 0.318409
## Hobbies_CA_3.l4 -7.146e-04 9.560e-03 -0.075 0.940418
## Household_1_CA_3.l4 -3.786e-02 1.586e-02 -2.387 0.017069 *
## Household_2_CA_3.l4 4.042e-02 2.713e-02 1.490 0.136416
## Foods_1_CA_3.l4 8.022e-03 2.239e-02 0.358 0.720217
## Foods_2_CA_3.l4 1.446e-03 1.132e-02 0.128 0.898346
## Foods_3_CA_3.l4 -4.444e-04 4.101e-03 -0.108 0.913721
## Hobbies_CA_3.l5 -2.773e-04 9.654e-03 -0.029 0.977089
## Household_1_CA_3.l5 -6.215e-03 1.587e-02 -0.392 0.695309
## Household_2_CA_3.l5 2.893e-02 2.716e-02 1.065 0.286836
## Foods_1_CA_3.l5 -4.443e-03 2.233e-02 -0.199 0.842318
## Foods_2_CA_3.l5 4.481e-03 1.133e-02 0.396 0.692493
## Foods_3_CA_3.l5 -7.103e-04 4.108e-03 -0.173 0.862749
## Hobbies_CA_3.l6 -7.698e-03 9.651e-03 -0.798 0.425188
## Household_1_CA_3.l6 2.265e-02 1.588e-02 1.426 0.153952
## Household_2_CA_3.l6 1.661e-01 2.719e-02 6.111 1.20e-09 ***
## Foods_1_CA_3.l6 2.983e-02 2.240e-02 1.331 0.183201
## Foods_2_CA_3.l6 5.049e-03 1.133e-02 0.446 0.655782
## Foods_3_CA_3.l6 -8.011e-03 4.111e-03 -1.949 0.051466 .
## Hobbies_CA_3.l7 1.388e-03 9.667e-03 0.144 0.885819
## Household_1_CA_3.l7 2.006e-02 1.591e-02 1.261 0.207552
## Household_2_CA_3.l7 1.049e-01 2.747e-02 3.817 0.000139 ***
## Foods_1_CA_3.l7 -6.345e-03 2.242e-02 -0.283 0.777187
## Foods_2_CA_3.l7 -8.811e-03 1.134e-02 -0.777 0.437257
## Foods_3_CA_3.l7 1.025e-02 4.112e-03 2.494 0.012733 *
## Hobbies_CA_3.l8 2.401e-03 9.682e-03 0.248 0.804177
## Household_1_CA_3.l8 -2.552e-02 1.587e-02 -1.608 0.108055
## Household_2_CA_3.l8 2.347e-02 2.749e-02 0.853 0.393494
## Foods_1_CA_3.l8 -5.322e-02 2.240e-02 -2.376 0.017598 *
## Foods_2_CA_3.l8 2.668e-02 1.134e-02 2.352 0.018797 *
## Foods_3_CA_3.l8 1.713e-03 4.104e-03 0.417 0.676464
## Hobbies_CA_3.l9 4.581e-03 9.663e-03 0.474 0.635473
## Household_1_CA_3.l9 1.965e-03 1.583e-02 0.124 0.901241
## Household_2_CA_3.l9 1.119e-02 2.726e-02 0.410 0.681526
## Foods_1_CA_3.l9 -6.207e-03 2.245e-02 -0.276 0.782222
## Foods_2_CA_3.l9 1.646e-02 1.134e-02 1.451 0.146832
## Foods_3_CA_3.l9 -1.204e-02 4.082e-03 -2.950 0.003218 **
## Hobbies_CA_3.l10 -1.383e-02 9.644e-03 -1.435 0.151571
## Household_1_CA_3.l10 6.116e-05 1.579e-02 0.004 0.996911
## Household_2_CA_3.l10 7.194e-03 2.725e-02 0.264 0.791806
## Foods_1_CA_3.l10 5.449e-03 2.228e-02 0.245 0.806867
## Foods_2_CA_3.l10 -1.266e-02 1.135e-02 -1.116 0.264604
## Foods_3_CA_3.l10 4.371e-03 4.082e-03 1.071 0.284395
## Hobbies_CA_3.l11 8.414e-03 9.557e-03 0.880 0.378715
## Household_1_CA_3.l11 1.771e-03 1.574e-02 0.112 0.910448
## Household_2_CA_3.l11 -1.862e-02 2.722e-02 -0.684 0.493973
## Foods_1_CA_3.l11 -2.953e-02 2.225e-02 -1.327 0.184699
## Foods_2_CA_3.l11 -1.321e-02 1.133e-02 -1.166 0.243750
## Foods_3_CA_3.l11 5.860e-03 4.081e-03 1.436 0.151199
## Hobbies_CA_3.l12 9.031e-03 9.538e-03 0.947 0.343843
## Household_1_CA_3.l12 -8.191e-04 1.573e-02 -0.052 0.958490
## Household_2_CA_3.l12 2.346e-02 2.723e-02 0.861 0.389077
## Foods_1_CA_3.l12 -2.328e-02 2.225e-02 -1.046 0.295494
## Foods_2_CA_3.l12 3.903e-03 1.132e-02 0.345 0.730223
## Foods_3_CA_3.l12 -6.341e-03 4.071e-03 -1.558 0.119470
## Hobbies_CA_3.l13 -1.043e-02 9.518e-03 -1.096 0.273202
## Household_1_CA_3.l13 3.950e-02 1.566e-02 2.522 0.011741 *
## Household_2_CA_3.l13 2.913e-02 2.708e-02 1.076 0.282045
## Foods_1_CA_3.l13 2.081e-02 2.198e-02 0.947 0.343972
## Foods_2_CA_3.l13 -7.767e-03 1.128e-02 -0.689 0.491148
## Foods_3_CA_3.l13 7.683e-04 4.039e-03 0.190 0.849168
## Hobbies_CA_3.l14 1.176e-02 9.424e-03 1.248 0.212308
## Household_1_CA_3.l14 1.345e-02 1.476e-02 0.912 0.362124
## Household_2_CA_3.l14 1.773e-01 2.652e-02 6.683 3.08e-11 ***
## Foods_1_CA_3.l14 1.601e-02 2.072e-02 0.772 0.439961
## Foods_2_CA_3.l14 -1.132e-02 1.023e-02 -1.107 0.268611
## Foods_3_CA_3.l14 8.347e-03 3.702e-03 2.255 0.024250 *
## const 1.337e+01 6.528e+00 2.047 0.040749 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 24.92 on 1870 degrees of freedom
## Multiple R-Squared: 0.628, Adjusted R-squared: 0.6113
## F-statistic: 37.58 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_3:
## =============================================
## Foods_1_CA_3 = Hobbies_CA_3.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_3.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_3.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_3.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_3.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_3.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_3.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Hobbies_CA_3.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Hobbies_CA_3.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Hobbies_CA_3.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Hobbies_CA_3.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Hobbies_CA_3.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Hobbies_CA_3.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Hobbies_CA_3.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_3.l1 -0.0064566 0.0122862 -0.526 0.599289
## Household_1_CA_3.l1 0.0620937 0.0192530 3.225 0.001281 **
## Household_2_CA_3.l1 0.0238804 0.0344974 0.692 0.488873
## Foods_1_CA_3.l1 0.3549750 0.0274156 12.948 < 2e-16 ***
## Foods_2_CA_3.l1 -0.0245144 0.0132387 -1.852 0.064223 .
## Foods_3_CA_3.l1 -0.0006082 0.0048269 -0.126 0.899748
## Hobbies_CA_3.l2 0.0087340 0.0123556 0.707 0.479728
## Household_1_CA_3.l2 -0.0465060 0.0203811 -2.282 0.022612 *
## Household_2_CA_3.l2 -0.0307510 0.0349028 -0.881 0.378407
## Foods_1_CA_3.l2 0.1475022 0.0288868 5.106 3.62e-07 ***
## Foods_2_CA_3.l2 0.0105193 0.0145116 0.725 0.468611
## Foods_3_CA_3.l2 0.0006697 0.0052568 0.127 0.898638
## Hobbies_CA_3.l3 0.0053797 0.0123477 0.436 0.663116
## Household_1_CA_3.l3 -0.0012931 0.0204956 -0.063 0.949699
## Household_2_CA_3.l3 -0.0115916 0.0349760 -0.331 0.740367
## Foods_1_CA_3.l3 0.1023334 0.0289748 3.532 0.000423 ***
## Foods_2_CA_3.l3 0.0081246 0.0146087 0.556 0.578177
## Foods_3_CA_3.l3 -0.0026056 0.0052994 -0.492 0.623007
## Hobbies_CA_3.l4 0.0031964 0.0123470 0.259 0.795754
## Household_1_CA_3.l4 -0.0417017 0.0204820 -2.036 0.041889 *
## Household_2_CA_3.l4 -0.0461141 0.0350397 -1.316 0.188317
## Foods_1_CA_3.l4 0.0684029 0.0289235 2.365 0.018134 *
## Foods_2_CA_3.l4 0.0091104 0.0146183 0.623 0.533214
## Foods_3_CA_3.l4 0.0121529 0.0052973 2.294 0.021890 *
## Hobbies_CA_3.l5 -0.0066153 0.0124688 -0.531 0.595798
## Household_1_CA_3.l5 -0.0114355 0.0204926 -0.558 0.576890
## Household_2_CA_3.l5 -0.0056086 0.0350752 -0.160 0.872975
## Foods_1_CA_3.l5 0.0644083 0.0288393 2.233 0.025644 *
## Foods_2_CA_3.l5 -0.0115190 0.0146324 -0.787 0.431250
## Foods_3_CA_3.l5 -0.0099929 0.0053062 -1.883 0.059822 .
## Hobbies_CA_3.l6 0.0090106 0.0124650 0.723 0.469849
## Household_1_CA_3.l6 0.0234433 0.0205077 1.143 0.253125
## Household_2_CA_3.l6 0.0564685 0.0351168 1.608 0.107999
## Foods_1_CA_3.l6 0.0291830 0.0289328 1.009 0.313273
## Foods_2_CA_3.l6 0.0078968 0.0146282 0.540 0.589377
## Foods_3_CA_3.l6 -0.0040656 0.0053095 -0.766 0.443940
## Hobbies_CA_3.l7 0.0037047 0.0124859 0.297 0.766720
## Household_1_CA_3.l7 0.0404164 0.0205507 1.967 0.049370 *
## Household_2_CA_3.l7 0.0728633 0.0354752 2.054 0.040122 *
## Foods_1_CA_3.l7 0.0197440 0.0289545 0.682 0.495388
## Foods_2_CA_3.l7 0.0199587 0.0146467 1.363 0.173149
## Foods_3_CA_3.l7 0.0055759 0.0053108 1.050 0.293890
## Hobbies_CA_3.l8 -0.0058263 0.0125045 -0.466 0.641319
## Household_1_CA_3.l8 -0.0068504 0.0204976 -0.334 0.738261
## Household_2_CA_3.l8 -0.0189959 0.0355090 -0.535 0.592740
## Foods_1_CA_3.l8 -0.0397531 0.0289313 -1.374 0.169591
## Foods_2_CA_3.l8 0.0216124 0.0146524 1.475 0.140379
## Foods_3_CA_3.l8 -0.0016018 0.0053011 -0.302 0.762558
## Hobbies_CA_3.l9 0.0046094 0.0124799 0.369 0.711912
## Household_1_CA_3.l9 -0.0255495 0.0204443 -1.250 0.211561
## Household_2_CA_3.l9 -0.0445074 0.0352080 -1.264 0.206342
## Foods_1_CA_3.l9 -0.0462472 0.0289964 -1.595 0.110896
## Foods_2_CA_3.l9 0.0209657 0.0146494 1.431 0.152552
## Foods_3_CA_3.l9 -0.0097568 0.0052721 -1.851 0.064380 .
## Hobbies_CA_3.l10 -0.0149214 0.0124554 -1.198 0.231075
## Household_1_CA_3.l10 0.0075128 0.0203970 0.368 0.712670
## Household_2_CA_3.l10 -0.0927091 0.0351931 -2.634 0.008501 **
## Foods_1_CA_3.l10 -0.0615269 0.0287811 -2.138 0.032666 *
## Foods_2_CA_3.l10 -0.0190645 0.0146565 -1.301 0.193503
## Foods_3_CA_3.l10 0.0034098 0.0052725 0.647 0.517889
## Hobbies_CA_3.l11 0.0060662 0.0123429 0.491 0.623151
## Household_1_CA_3.l11 0.0057533 0.0203336 0.283 0.777250
## Household_2_CA_3.l11 0.0798765 0.0351564 2.272 0.023198 *
## Foods_1_CA_3.l11 -0.0589430 0.0287417 -2.051 0.040427 *
## Foods_2_CA_3.l11 0.0116114 0.0146370 0.793 0.427707
## Foods_3_CA_3.l11 -0.0066507 0.0052713 -1.262 0.207218
## Hobbies_CA_3.l12 0.0079109 0.0123192 0.642 0.520848
## Household_1_CA_3.l12 -0.0311073 0.0203222 -1.531 0.126010
## Household_2_CA_3.l12 -0.0074957 0.0351659 -0.213 0.831232
## Foods_1_CA_3.l12 0.0070015 0.0287346 0.244 0.807520
## Foods_2_CA_3.l12 -0.0168489 0.0146168 -1.153 0.249178
## Foods_3_CA_3.l12 -0.0111190 0.0052575 -2.115 0.034573 *
## Hobbies_CA_3.l13 -0.0092069 0.0122931 -0.749 0.453983
## Household_1_CA_3.l13 0.0336764 0.0202266 1.665 0.096088 .
## Household_2_CA_3.l13 0.0151591 0.0349696 0.433 0.664706
## Foods_1_CA_3.l13 0.0051776 0.0283932 0.182 0.855326
## Foods_2_CA_3.l13 0.0036559 0.0145672 0.251 0.801866
## Foods_3_CA_3.l13 -0.0006373 0.0052172 -0.122 0.902795
## Hobbies_CA_3.l14 0.0210085 0.0121717 1.726 0.084511 .
## Household_1_CA_3.l14 0.0116710 0.0190641 0.612 0.540482
## Household_2_CA_3.l14 0.0860627 0.0342584 2.512 0.012083 *
## Foods_1_CA_3.l14 0.0128510 0.0267665 0.480 0.631202
## Foods_2_CA_3.l14 0.0043737 0.0132174 0.331 0.740755
## Foods_3_CA_3.l14 0.0031323 0.0047807 0.655 0.512421
## const 76.5161490 8.4308344 9.076 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 32.19 on 1870 degrees of freedom
## Multiple R-Squared: 0.5708, Adjusted R-squared: 0.5516
## F-statistic: 29.61 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_3:
## =============================================
## Foods_2_CA_3 = Hobbies_CA_3.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_3.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_3.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_3.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_3.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_3.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_3.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Hobbies_CA_3.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Hobbies_CA_3.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Hobbies_CA_3.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Hobbies_CA_3.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Hobbies_CA_3.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Hobbies_CA_3.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Hobbies_CA_3.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_3.l1 -0.0236262 0.0307248 -0.769 0.44201
## Household_1_CA_3.l1 0.0285693 0.0481472 0.593 0.55300
## Household_2_CA_3.l1 -0.1266629 0.0862698 -1.468 0.14221
## Foods_1_CA_3.l1 0.0801987 0.0685600 1.170 0.24225
## Foods_2_CA_3.l1 0.4883981 0.0331069 14.752 < 2e-16 ***
## Foods_3_CA_3.l1 -0.0114008 0.0120709 -0.944 0.34504
## Hobbies_CA_3.l2 -0.0188517 0.0308985 -0.610 0.54186
## Household_1_CA_3.l2 -0.1050837 0.0509683 -2.062 0.03937 *
## Household_2_CA_3.l2 0.0231441 0.0872837 0.265 0.79092
## Foods_1_CA_3.l2 0.0522042 0.0722391 0.723 0.46998
## Foods_2_CA_3.l2 0.0633867 0.0362901 1.747 0.08086 .
## Foods_3_CA_3.l2 0.0010223 0.0131459 0.078 0.93802
## Hobbies_CA_3.l3 0.0339442 0.0308786 1.099 0.27179
## Household_1_CA_3.l3 -0.0736824 0.0512546 -1.438 0.15072
## Household_2_CA_3.l3 -0.0658129 0.0874668 -0.752 0.45189
## Foods_1_CA_3.l3 0.0639821 0.0724590 0.883 0.37734
## Foods_2_CA_3.l3 0.0554853 0.0365329 1.519 0.12899
## Foods_3_CA_3.l3 -0.0018185 0.0132525 -0.137 0.89087
## Hobbies_CA_3.l4 -0.0589754 0.0308769 -1.910 0.05628 .
## Household_1_CA_3.l4 0.0096620 0.0512207 0.189 0.85040
## Household_2_CA_3.l4 -0.0602577 0.0876259 -0.688 0.49175
## Foods_1_CA_3.l4 0.0229453 0.0723309 0.317 0.75111
## Foods_2_CA_3.l4 0.0618793 0.0365569 1.693 0.09068 .
## Foods_3_CA_3.l4 0.0073346 0.0132472 0.554 0.57987
## Hobbies_CA_3.l5 -0.0076409 0.0311816 -0.245 0.80645
## Household_1_CA_3.l5 0.0167493 0.0512472 0.327 0.74383
## Household_2_CA_3.l5 -0.0607013 0.0877148 -0.692 0.48900
## Foods_1_CA_3.l5 -0.0271135 0.0721204 -0.376 0.70700
## Foods_2_CA_3.l5 0.0379952 0.0365921 1.038 0.29924
## Foods_3_CA_3.l5 -0.0060379 0.0132695 -0.455 0.64915
## Hobbies_CA_3.l6 -0.0351434 0.0311721 -1.127 0.25972
## Household_1_CA_3.l6 -0.0452020 0.0512850 -0.881 0.37822
## Household_2_CA_3.l6 0.1326156 0.0878188 1.510 0.13119
## Foods_1_CA_3.l6 0.0198521 0.0723540 0.274 0.78383
## Foods_2_CA_3.l6 -0.0085973 0.0365816 -0.235 0.81422
## Foods_3_CA_3.l6 0.0133544 0.0132778 1.006 0.31466
## Hobbies_CA_3.l7 0.0128147 0.0312242 0.410 0.68155
## Household_1_CA_3.l7 0.0242684 0.0513926 0.472 0.63683
## Household_2_CA_3.l7 0.1723857 0.0887150 1.943 0.05215 .
## Foods_1_CA_3.l7 -0.0726043 0.0724084 -1.003 0.31613
## Foods_2_CA_3.l7 0.1980022 0.0366280 5.406 7.28e-08 ***
## Foods_3_CA_3.l7 0.0006635 0.0132810 0.050 0.96016
## Hobbies_CA_3.l8 0.0332295 0.0312709 1.063 0.28808
## Household_1_CA_3.l8 -0.0165715 0.0512596 -0.323 0.74651
## Household_2_CA_3.l8 -0.0886661 0.0887995 -0.998 0.31817
## Foods_1_CA_3.l8 -0.1674484 0.0723504 -2.314 0.02075 *
## Foods_2_CA_3.l8 0.0315291 0.0366422 0.860 0.38965
## Foods_3_CA_3.l8 -0.0014669 0.0132567 -0.111 0.91190
## Hobbies_CA_3.l9 0.0165329 0.0312092 0.530 0.59635
## Household_1_CA_3.l9 -0.0111939 0.0511263 -0.219 0.82672
## Household_2_CA_3.l9 -0.0253838 0.0880468 -0.288 0.77315
## Foods_1_CA_3.l9 -0.0437454 0.0725130 -0.603 0.54640
## Foods_2_CA_3.l9 -0.0448435 0.0366348 -1.224 0.22108
## Foods_3_CA_3.l9 -0.0069064 0.0131843 -0.524 0.60045
## Hobbies_CA_3.l10 -0.0315649 0.0311480 -1.013 0.31101
## Household_1_CA_3.l10 0.1069169 0.0510082 2.096 0.03621 *
## Household_2_CA_3.l10 -0.0509281 0.0880096 -0.579 0.56288
## Foods_1_CA_3.l10 -0.0643860 0.0719746 -0.895 0.37113
## Foods_2_CA_3.l10 -0.0019994 0.0366524 -0.055 0.95650
## Foods_3_CA_3.l10 -0.0076534 0.0131852 -0.580 0.56168
## Hobbies_CA_3.l11 -0.0129734 0.0308666 -0.420 0.67431
## Household_1_CA_3.l11 0.0233502 0.0508495 0.459 0.64614
## Household_2_CA_3.l11 -0.0700706 0.0879179 -0.797 0.42555
## Foods_1_CA_3.l11 -0.0345410 0.0718761 -0.481 0.63088
## Foods_2_CA_3.l11 -0.0170724 0.0366036 -0.466 0.64097
## Foods_3_CA_3.l11 0.0053179 0.0131823 0.403 0.68669
## Hobbies_CA_3.l12 0.0095381 0.0308074 0.310 0.75690
## Household_1_CA_3.l12 -0.0090140 0.0508210 -0.177 0.85924
## Household_2_CA_3.l12 0.0380301 0.0879415 0.432 0.66547
## Foods_1_CA_3.l12 -0.0307674 0.0718585 -0.428 0.66858
## Foods_2_CA_3.l12 -0.0405259 0.0365532 -1.109 0.26771
## Foods_3_CA_3.l12 -0.0011921 0.0131479 -0.091 0.92776
## Hobbies_CA_3.l13 -0.0040210 0.0307422 -0.131 0.89595
## Household_1_CA_3.l13 -0.0198581 0.0505818 -0.393 0.69466
## Household_2_CA_3.l13 0.1927294 0.0874506 2.204 0.02766 *
## Foods_1_CA_3.l13 0.0745406 0.0710047 1.050 0.29395
## Foods_2_CA_3.l13 0.0433831 0.0364292 1.191 0.23385
## Foods_3_CA_3.l13 0.0190662 0.0130471 1.461 0.14409
## Hobbies_CA_3.l14 0.0315824 0.0304386 1.038 0.29960
## Household_1_CA_3.l14 0.1199342 0.0476749 2.516 0.01196 *
## Household_2_CA_3.l14 0.0789680 0.0856723 0.922 0.35678
## Foods_1_CA_3.l14 -0.0562579 0.0669366 -0.840 0.40076
## Foods_2_CA_3.l14 0.0700582 0.0330536 2.120 0.03418 *
## Foods_3_CA_3.l14 -0.0166231 0.0119555 -1.390 0.16457
## const 65.7128287 21.0835243 3.117 0.00186 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 80.5 on 1870 degrees of freedom
## Multiple R-Squared: 0.7096, Adjusted R-squared: 0.6966
## F-statistic: 54.41 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_3:
## =============================================
## Foods_3_CA_3 = Hobbies_CA_3.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_3.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_3.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_3.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_3.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_3.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_3.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Hobbies_CA_3.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Hobbies_CA_3.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Hobbies_CA_3.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Hobbies_CA_3.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Hobbies_CA_3.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Hobbies_CA_3.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Hobbies_CA_3.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_3.l1 -1.223e-01 1.015e-01 -1.205 0.228375
## Household_1_CA_3.l1 1.119e-01 1.591e-01 0.704 0.481806
## Household_2_CA_3.l1 -1.352e-01 2.851e-01 -0.474 0.635358
## Foods_1_CA_3.l1 1.926e-01 2.266e-01 0.850 0.395510
## Foods_2_CA_3.l1 6.301e-02 1.094e-01 0.576 0.564752
## Foods_3_CA_3.l1 4.026e-01 3.989e-02 10.093 < 2e-16 ***
## Hobbies_CA_3.l2 2.092e-02 1.021e-01 0.205 0.837666
## Household_1_CA_3.l2 -5.415e-01 1.684e-01 -3.215 0.001327 **
## Household_2_CA_3.l2 -2.278e-02 2.884e-01 -0.079 0.937058
## Foods_1_CA_3.l2 6.319e-02 2.387e-01 0.265 0.791261
## Foods_2_CA_3.l2 -1.253e-01 1.199e-01 -1.045 0.296355
## Foods_3_CA_3.l2 1.255e-01 4.344e-02 2.889 0.003906 **
## Hobbies_CA_3.l3 6.377e-02 1.020e-01 0.625 0.532101
## Household_1_CA_3.l3 -2.330e-01 1.694e-01 -1.375 0.169177
## Household_2_CA_3.l3 -4.434e-01 2.890e-01 -1.534 0.125218
## Foods_1_CA_3.l3 3.361e-01 2.395e-01 1.404 0.160563
## Foods_2_CA_3.l3 1.707e-02 1.207e-01 0.141 0.887561
## Foods_3_CA_3.l3 4.517e-02 4.379e-02 1.031 0.302460
## Hobbies_CA_3.l4 -2.374e-02 1.020e-01 -0.233 0.816036
## Household_1_CA_3.l4 -1.483e-01 1.693e-01 -0.876 0.381062
## Household_2_CA_3.l4 -4.535e-01 2.896e-01 -1.566 0.117489
## Foods_1_CA_3.l4 2.202e-01 2.390e-01 0.921 0.357062
## Foods_2_CA_3.l4 4.138e-02 1.208e-01 0.342 0.732021
## Foods_3_CA_3.l4 7.584e-02 4.378e-02 1.732 0.083352 .
## Hobbies_CA_3.l5 -4.243e-02 1.030e-01 -0.412 0.680584
## Household_1_CA_3.l5 6.859e-02 1.694e-01 0.405 0.685501
## Household_2_CA_3.l5 -1.325e-01 2.899e-01 -0.457 0.647547
## Foods_1_CA_3.l5 -3.935e-01 2.383e-01 -1.651 0.098893 .
## Foods_2_CA_3.l5 2.480e-02 1.209e-01 0.205 0.837523
## Foods_3_CA_3.l5 1.884e-02 4.385e-02 0.430 0.667526
## Hobbies_CA_3.l6 -1.266e-01 1.030e-01 -1.229 0.219345
## Household_1_CA_3.l6 2.003e-01 1.695e-01 1.182 0.237317
## Household_2_CA_3.l6 1.976e-01 2.902e-01 0.681 0.495960
## Foods_1_CA_3.l6 2.285e-01 2.391e-01 0.956 0.339421
## Foods_2_CA_3.l6 -2.190e-01 1.209e-01 -1.812 0.070182 .
## Foods_3_CA_3.l6 6.300e-02 4.388e-02 1.436 0.151211
## Hobbies_CA_3.l7 1.787e-01 1.032e-01 1.732 0.083434 .
## Household_1_CA_3.l7 1.297e-01 1.698e-01 0.764 0.445116
## Household_2_CA_3.l7 7.108e-01 2.932e-01 2.425 0.015417 *
## Foods_1_CA_3.l7 -3.098e-01 2.393e-01 -1.295 0.195568
## Foods_2_CA_3.l7 2.052e-01 1.210e-01 1.695 0.090227 .
## Foods_3_CA_3.l7 1.525e-01 4.389e-02 3.475 0.000522 ***
## Hobbies_CA_3.l8 4.747e-02 1.033e-01 0.459 0.646009
## Household_1_CA_3.l8 -6.038e-02 1.694e-01 -0.356 0.721536
## Household_2_CA_3.l8 -7.925e-02 2.935e-01 -0.270 0.787134
## Foods_1_CA_3.l8 -8.181e-01 2.391e-01 -3.422 0.000635 ***
## Foods_2_CA_3.l8 2.486e-01 1.211e-01 2.053 0.040247 *
## Foods_3_CA_3.l8 -2.735e-02 4.381e-02 -0.624 0.532547
## Hobbies_CA_3.l9 4.959e-02 1.031e-01 0.481 0.630704
## Household_1_CA_3.l9 -1.011e-01 1.690e-01 -0.598 0.549645
## Household_2_CA_3.l9 -1.357e-01 2.910e-01 -0.466 0.641096
## Foods_1_CA_3.l9 -2.633e-01 2.396e-01 -1.099 0.271998
## Foods_2_CA_3.l9 8.185e-03 1.211e-01 0.068 0.946107
## Foods_3_CA_3.l9 -9.795e-02 4.357e-02 -2.248 0.024680 *
## Hobbies_CA_3.l10 -3.290e-02 1.029e-01 -0.320 0.749276
## Household_1_CA_3.l10 1.892e-01 1.686e-01 1.122 0.261870
## Household_2_CA_3.l10 -3.570e-01 2.908e-01 -1.228 0.219785
## Foods_1_CA_3.l10 -3.581e-01 2.379e-01 -1.506 0.132343
## Foods_2_CA_3.l10 -4.925e-02 1.211e-01 -0.407 0.684347
## Foods_3_CA_3.l10 1.432e-04 4.357e-02 0.003 0.997378
## Hobbies_CA_3.l11 9.608e-02 1.020e-01 0.942 0.346336
## Household_1_CA_3.l11 -2.551e-02 1.680e-01 -0.152 0.879368
## Household_2_CA_3.l11 -1.898e-01 2.905e-01 -0.653 0.513578
## Foods_1_CA_3.l11 -1.126e-01 2.375e-01 -0.474 0.635620
## Foods_2_CA_3.l11 3.089e-02 1.210e-01 0.255 0.798446
## Foods_3_CA_3.l11 -2.890e-03 4.356e-02 -0.066 0.947112
## Hobbies_CA_3.l12 2.681e-03 1.018e-01 0.026 0.978989
## Household_1_CA_3.l12 -1.095e-01 1.679e-01 -0.652 0.514448
## Household_2_CA_3.l12 -7.544e-03 2.906e-01 -0.026 0.979293
## Foods_1_CA_3.l12 -2.181e-01 2.375e-01 -0.919 0.358395
## Foods_2_CA_3.l12 -1.410e-01 1.208e-01 -1.167 0.243361
## Foods_3_CA_3.l12 -1.014e-02 4.345e-02 -0.233 0.815406
## Hobbies_CA_3.l13 -5.259e-02 1.016e-01 -0.518 0.604774
## Household_1_CA_3.l13 7.956e-02 1.672e-01 0.476 0.634160
## Household_2_CA_3.l13 2.558e-01 2.890e-01 0.885 0.376265
## Foods_1_CA_3.l13 -7.285e-02 2.346e-01 -0.310 0.756249
## Foods_2_CA_3.l13 -5.531e-03 1.204e-01 -0.046 0.963362
## Foods_3_CA_3.l13 7.793e-02 4.312e-02 1.807 0.070867 .
## Hobbies_CA_3.l14 1.709e-01 1.006e-01 1.699 0.089476 .
## Household_1_CA_3.l14 4.651e-01 1.575e-01 2.952 0.003195 **
## Household_2_CA_3.l14 1.124e+00 2.831e-01 3.970 7.46e-05 ***
## Foods_1_CA_3.l14 -2.382e-01 2.212e-01 -1.077 0.281707
## Foods_2_CA_3.l14 6.453e-02 1.092e-01 0.591 0.554752
## Foods_3_CA_3.l14 4.458e-02 3.951e-02 1.128 0.259334
## const 4.188e+02 6.967e+01 6.011 2.22e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 266 on 1870 degrees of freedom
## Multiple R-Squared: 0.7493, Adjusted R-squared: 0.738
## F-statistic: 66.53 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
##
## Covariance matrix of residuals:
## Hobbies_CA_3 Household_1_CA_3 Household_2_CA_3 Foods_1_CA_3
## Hobbies_CA_3 4417.4 1172.4 467.0 592.9
## Household_1_CA_3 1172.4 2324.8 512.1 649.0
## Household_2_CA_3 467.0 512.1 621.2 270.1
## Foods_1_CA_3 592.9 649.0 270.1 1036.3
## Foods_2_CA_3 1121.7 1180.3 565.5 720.2
## Foods_3_CA_3 5990.9 6684.8 3027.5 4163.2
## Foods_2_CA_3 Foods_3_CA_3
## Hobbies_CA_3 1121.7 5991
## Household_1_CA_3 1180.3 6685
## Household_2_CA_3 565.5 3028
## Foods_1_CA_3 720.2 4163
## Foods_2_CA_3 6480.7 15253
## Foods_3_CA_3 15253.0 70774
##
## Correlation matrix of residuals:
## Hobbies_CA_3 Household_1_CA_3 Household_2_CA_3 Foods_1_CA_3
## Hobbies_CA_3 1.0000 0.3659 0.2819 0.2771
## Household_1_CA_3 0.3659 1.0000 0.4261 0.4181
## Household_2_CA_3 0.2819 0.4261 1.0000 0.3366
## Foods_1_CA_3 0.2771 0.4181 0.3366 1.0000
## Foods_2_CA_3 0.2096 0.3041 0.2818 0.2779
## Foods_3_CA_3 0.3388 0.5211 0.4566 0.4861
## Foods_2_CA_3 Foods_3_CA_3
## Hobbies_CA_3 0.2096 0.3388
## Household_1_CA_3 0.3041 0.5211
## Household_2_CA_3 0.2818 0.4566
## Foods_1_CA_3 0.2779 0.4861
## Foods_2_CA_3 1.0000 0.7122
## Foods_3_CA_3 0.7122 1.0000Serial3 <- serial.test(Model3, lags.pt = 5, type = "PT.asymptotic")## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs produced## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs producedSerial3##
## Portmanteau Test (asymptotic)
##
## data: Residuals of VAR object Model3
## Chi-squared = 10.931, df = -324, p-value = NAArch3 <- arch.test(Model3, lags.multi = 15, multivariate.only = TRUE)
Arch3##
## ARCH (multivariate)
##
## data: Residuals of VAR object Model3
## Chi-squared = 7757.1, df = 6615, p-value < 2.2e-16Norm3 <- normality.test(Model3, multivariate.only = TRUE)
Norm3## $JB
##
## JB-Test (multivariate)
##
## data: Residuals of VAR object Model3
## Chi-squared = 4600.4, df = 12, p-value < 2.2e-16
##
##
## $Skewness
##
## Skewness only (multivariate)
##
## data: Residuals of VAR object Model3
## Chi-squared = 139.6, df = 6, p-value < 2.2e-16
##
##
## $Kurtosis
##
## Kurtosis only (multivariate)
##
## data: Residuals of VAR object Model3
## Chi-squared = 4460.8, df = 6, p-value < 2.2e-16Stability3 <- stability(Model3, type = "OLS-CUSUM")
plot(Stability3)
forecast <- predict(Model3, n.ahead = 28, ci = 0.95)
fanchart(forecast, names = "Hobbies_CA_3", main = "Fanchart for Hobbies_CA_3", xlab = "Horizon", ylab = "Hobbies_CA_3")
fanchart(forecast, names = "Household_1_CA_3", main = "Fanchart for Household_1_CA_3", xlab = "Horizon", ylab = "Household_1_CA_3")
fanchart(forecast, names = "Household_2_CA_3", main = "Fanchart for Household_2_CA_3", xlab = "Horizon", ylab = "Household_2_CA_3")
fanchart(forecast, names = "Foods_1_CA_3", main = "Fanchart for Foods_1_CA_3", xlab = "Horizon", ylab = "Foods_1_CA_3")
fanchart(forecast, names = "Foods_2_CA_3", main = "Fanchart for Foods_2_CA_3", xlab = "Horizon", ylab = "Foods_2_CA_3")
fanchart(forecast, names = "Foods_3_CA_3", main = "Fanchart for Foods_3_CA_3", xlab = "Horizon", ylab = "Foods_3_CA_3")
result_3 = forecast$fcst$Hobbies_CA_3+forecast$fcst$Household_1_CA_3+forecast$fcst$Household_2_CA_3+forecast$fcst$Foods_1_CA_3+forecast$fcst$Foods_2_CA_3+forecast$fcst$Foods_3_CA_3
print(result_3)## fcst lower upper CI
## [1,] 3728.568 2712.656 4744.479 1015.911
## [2,] 3487.904 2398.315 4577.493 1089.589
## [3,] 3380.374 2268.065 4492.682 1112.308
## [4,] 3421.219 2293.733 4548.705 1127.486
## [5,] 3773.791 2628.298 4919.284 1145.493
## [6,] 4432.313 3275.235 5589.391 1157.078
## [7,] 4419.585 3249.419 5589.752 1170.167
## [8,] 3948.789 2728.703 5168.876 1220.087
## [9,] 3693.230 2445.984 4940.476 1247.246
## [10,] 3557.853 2301.214 4814.492 1256.639
## [11,] 3533.804 2269.749 4797.859 1264.055
## [12,] 3908.391 2636.382 5180.400 1272.009
## [13,] 4548.592 3267.964 5829.221 1280.628
## [14,] 4464.794 3174.402 5755.187 1290.393
## [15,] 4027.123 2696.183 5358.063 1330.940
## [16,] 3757.652 2407.222 5108.083 1350.430
## [17,] 3605.860 2245.758 4965.961 1360.102
## [18,] 3576.286 2208.300 4944.272 1367.986
## [19,] 3943.343 2567.675 5319.010 1375.667
## [20,] 4443.763 3061.514 5826.013 1382.249
## [21,] 4410.119 3020.625 5799.613 1389.494
## [22,] 4018.780 2606.983 5430.576 1411.797
## [23,] 3734.877 2309.495 5160.260 1425.383
## [24,] 3551.745 2120.816 4982.674 1430.929
## [25,] 3542.112 2106.446 4977.777 1435.666
## [26,] 3904.719 2464.205 5345.234 1440.515
## [27,] 4357.445 2913.250 5801.641 1444.196
## [28,] 4333.301 2881.963 5784.640 1451.3392. Consider a VAR model for each type of products and obtain forecasts.
Analysis for the first type of products Hobbies
We use similar codes as in 2.1 to build models for different types of products.
v_hobby <- cbind(Hobbies_CA_1, Hobbies_CA_2, Hobbies_CA_3)
colnames(v_hobby) <- cbind("Hobbies_CA_1","Hobbies_CA_2","Hobbies_CA_3")
lagselect <- VARselect(v_hobby, lag.max = 60, type = "const")
lagselect$selection## AIC(n) HQ(n) SC(n) FPE(n)
## 28 14 7 28Model_hobby <- VAR(v_hobby, p = 28, type = "const", season = NULL, exog = NULL)
summary(Model_hobby)##
## VAR Estimation Results:
## =========================
## Endogenous variables: Hobbies_CA_1, Hobbies_CA_2, Hobbies_CA_3
## Deterministic variables: const
## Sample size: 1941
## Log Likelihood: -31665.024
## Roots of the characteristic polynomial:
## 0.9956 0.9956 0.9956 0.9956 0.9838 0.9838 0.9623 0.9462 0.9462 0.9461 0.9461 0.9451 0.9451 0.9428 0.9428 0.9389 0.9389 0.9345 0.9345 0.933 0.933 0.9312 0.9312 0.9274 0.9274 0.9228 0.9228 0.922 0.922 0.9198 0.9198 0.9186 0.9186 0.9169 0.9169 0.9169 0.9163 0.9163 0.9154 0.9154 0.9134 0.9134 0.9125 0.9125 0.9112 0.9112 0.9096 0.9096 0.9089 0.9089 0.9044 0.9044 0.9044 0.9044 0.8999 0.8999 0.8999 0.8999 0.8952 0.8952 0.8906 0.8906 0.8902 0.8902 0.8873 0.8854 0.8854 0.8853 0.8853 0.8852 0.8852 0.8843 0.8843 0.8825 0.8825 0.8824 0.8824 0.8789 0.8789 0.8711 0.8711 0.8572 0.8572 0.6359
## Call:
## VAR(y = v_hobby, p = 28, type = "const", exogen = NULL)
##
##
## Estimation results for equation Hobbies_CA_1:
## =============================================
## Hobbies_CA_1 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Hobbies_CA_1.l8 + Hobbies_CA_2.l8 + Hobbies_CA_3.l8 + Hobbies_CA_1.l9 + Hobbies_CA_2.l9 + Hobbies_CA_3.l9 + Hobbies_CA_1.l10 + Hobbies_CA_2.l10 + Hobbies_CA_3.l10 + Hobbies_CA_1.l11 + Hobbies_CA_2.l11 + Hobbies_CA_3.l11 + Hobbies_CA_1.l12 + Hobbies_CA_2.l12 + Hobbies_CA_3.l12 + Hobbies_CA_1.l13 + Hobbies_CA_2.l13 + Hobbies_CA_3.l13 + Hobbies_CA_1.l14 + Hobbies_CA_2.l14 + Hobbies_CA_3.l14 + Hobbies_CA_1.l15 + Hobbies_CA_2.l15 + Hobbies_CA_3.l15 + Hobbies_CA_1.l16 + Hobbies_CA_2.l16 + Hobbies_CA_3.l16 + Hobbies_CA_1.l17 + Hobbies_CA_2.l17 + Hobbies_CA_3.l17 + Hobbies_CA_1.l18 + Hobbies_CA_2.l18 + Hobbies_CA_3.l18 + Hobbies_CA_1.l19 + Hobbies_CA_2.l19 + Hobbies_CA_3.l19 + Hobbies_CA_1.l20 + Hobbies_CA_2.l20 + Hobbies_CA_3.l20 + Hobbies_CA_1.l21 + Hobbies_CA_2.l21 + Hobbies_CA_3.l21 + Hobbies_CA_1.l22 + Hobbies_CA_2.l22 + Hobbies_CA_3.l22 + Hobbies_CA_1.l23 + Hobbies_CA_2.l23 + Hobbies_CA_3.l23 + Hobbies_CA_1.l24 + Hobbies_CA_2.l24 + Hobbies_CA_3.l24 + Hobbies_CA_1.l25 + Hobbies_CA_2.l25 + Hobbies_CA_3.l25 + Hobbies_CA_1.l26 + Hobbies_CA_2.l26 + Hobbies_CA_3.l26 + Hobbies_CA_1.l27 + Hobbies_CA_2.l27 + Hobbies_CA_3.l27 + Hobbies_CA_1.l28 + Hobbies_CA_2.l28 + Hobbies_CA_3.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.1496449 0.0247244 6.053 1.72e-09 ***
## Hobbies_CA_2.l1 0.0557265 0.0310687 1.794 0.073032 .
## Hobbies_CA_3.l1 0.0537853 0.0235752 2.281 0.022635 *
## Hobbies_CA_1.l2 0.0139294 0.0250922 0.555 0.578872
## Hobbies_CA_2.l2 -0.0488395 0.0310201 -1.574 0.115554
## Hobbies_CA_3.l2 0.0683426 0.0236499 2.890 0.003900 **
## Hobbies_CA_1.l3 0.0052973 0.0251211 0.211 0.833012
## Hobbies_CA_2.l3 0.0270719 0.0310310 0.872 0.383095
## Hobbies_CA_3.l3 0.0097927 0.0237087 0.413 0.679623
## Hobbies_CA_1.l4 0.0145825 0.0251348 0.580 0.561869
## Hobbies_CA_2.l4 -0.0266240 0.0310143 -0.858 0.390760
## Hobbies_CA_3.l4 0.0246296 0.0236781 1.040 0.298390
## Hobbies_CA_1.l5 -0.0153121 0.0250795 -0.611 0.541578
## Hobbies_CA_2.l5 0.0133051 0.0310077 0.429 0.667907
## Hobbies_CA_3.l5 -0.0159366 0.0237904 -0.670 0.503020
## Hobbies_CA_1.l6 0.0441110 0.0250702 1.760 0.078657 .
## Hobbies_CA_2.l6 -0.0243738 0.0309780 -0.787 0.431494
## Hobbies_CA_3.l6 0.0312418 0.0237399 1.316 0.188336
## Hobbies_CA_1.l7 0.0830958 0.0250435 3.318 0.000924 ***
## Hobbies_CA_2.l7 0.1182629 0.0310499 3.809 0.000144 ***
## Hobbies_CA_3.l7 0.0291205 0.0237617 1.226 0.220534
## Hobbies_CA_1.l8 -0.0076709 0.0251029 -0.306 0.759960
## Hobbies_CA_2.l8 0.0057568 0.0313917 0.183 0.854515
## Hobbies_CA_3.l8 -0.0300904 0.0237879 -1.265 0.206050
## Hobbies_CA_1.l9 0.0168554 0.0251062 0.671 0.502073
## Hobbies_CA_2.l9 -0.0129272 0.0314500 -0.411 0.681092
## Hobbies_CA_3.l9 -0.0433157 0.0238050 -1.820 0.068981 .
## Hobbies_CA_1.l10 0.0333675 0.0250759 1.331 0.183464
## Hobbies_CA_2.l10 0.0252451 0.0313909 0.804 0.421374
## Hobbies_CA_3.l10 -0.0188634 0.0238170 -0.792 0.428453
## Hobbies_CA_1.l11 0.0220435 0.0250623 0.880 0.379218
## Hobbies_CA_2.l11 0.0147763 0.0313991 0.471 0.637985
## Hobbies_CA_3.l11 -0.0023887 0.0238269 -0.100 0.920156
## Hobbies_CA_1.l12 -0.0072593 0.0250713 -0.290 0.772195
## Hobbies_CA_2.l12 -0.0124848 0.0314205 -0.397 0.691159
## Hobbies_CA_3.l12 -0.0239765 0.0238035 -1.007 0.313936
## Hobbies_CA_1.l13 0.0300136 0.0250616 1.198 0.231229
## Hobbies_CA_2.l13 0.0207100 0.0313157 0.661 0.508482
## Hobbies_CA_3.l13 0.0412609 0.0238373 1.731 0.083628 .
## Hobbies_CA_1.l14 0.0923361 0.0250605 3.685 0.000236 ***
## Hobbies_CA_2.l14 0.0557658 0.0312998 1.782 0.074967 .
## Hobbies_CA_3.l14 -0.0051899 0.0238397 -0.218 0.827687
## Hobbies_CA_1.l15 0.0062489 0.0250522 0.249 0.803052
## Hobbies_CA_2.l15 0.0212907 0.0313659 0.679 0.497359
## Hobbies_CA_3.l15 -0.0014504 0.0237959 -0.061 0.951403
## Hobbies_CA_1.l16 0.0450622 0.0250620 1.798 0.072335 .
## Hobbies_CA_2.l16 -0.0536261 0.0313173 -1.712 0.086999 .
## Hobbies_CA_3.l16 -0.0067203 0.0238146 -0.282 0.777828
## Hobbies_CA_1.l17 -0.0394191 0.0250707 -1.572 0.116048
## Hobbies_CA_2.l17 -0.0250147 0.0313212 -0.799 0.424595
## Hobbies_CA_3.l17 0.0153025 0.0238157 0.643 0.520603
## Hobbies_CA_1.l18 0.0484212 0.0250839 1.930 0.053713 .
## Hobbies_CA_2.l18 -0.0394064 0.0313010 -1.259 0.208207
## Hobbies_CA_3.l18 -0.0424595 0.0237823 -1.785 0.074370 .
## Hobbies_CA_1.l19 0.0542046 0.0251191 2.158 0.031063 *
## Hobbies_CA_2.l19 -0.0908580 0.0313008 -2.903 0.003743 **
## Hobbies_CA_3.l19 0.0133570 0.0238002 0.561 0.574718
## Hobbies_CA_1.l20 -0.0026422 0.0251427 -0.105 0.916317
## Hobbies_CA_2.l20 0.0069789 0.0314013 0.222 0.824144
## Hobbies_CA_3.l20 0.0238925 0.0237600 1.006 0.314751
## Hobbies_CA_1.l21 0.0124960 0.0250646 0.499 0.618153
## Hobbies_CA_2.l21 0.0435149 0.0313446 1.388 0.165221
## Hobbies_CA_3.l21 0.0318021 0.0237861 1.337 0.181384
## Hobbies_CA_1.l22 -0.0266760 0.0248935 -1.072 0.284037
## Hobbies_CA_2.l22 0.0009055 0.0311284 0.029 0.976798
## Hobbies_CA_3.l22 0.0319030 0.0237842 1.341 0.179970
## Hobbies_CA_1.l23 0.0085642 0.0248674 0.344 0.730589
## Hobbies_CA_2.l23 -0.0614830 0.0311135 -1.976 0.048293 *
## Hobbies_CA_3.l23 0.0055101 0.0238016 0.231 0.816952
## Hobbies_CA_1.l24 -0.0518397 0.0248998 -2.082 0.037485 *
## Hobbies_CA_2.l24 -0.0213339 0.0311518 -0.685 0.493532
## Hobbies_CA_3.l24 -0.0005795 0.0238212 -0.024 0.980593
## Hobbies_CA_1.l25 -0.0303307 0.0249351 -1.216 0.223993
## Hobbies_CA_2.l25 0.0094541 0.0311709 0.303 0.761696
## Hobbies_CA_3.l25 0.0007313 0.0236911 0.031 0.975377
## Hobbies_CA_1.l26 0.0002045 0.0249470 0.008 0.993462
## Hobbies_CA_2.l26 0.0264602 0.0311008 0.851 0.394997
## Hobbies_CA_3.l26 -0.0011692 0.0237062 -0.049 0.960669
## Hobbies_CA_1.l27 0.0151697 0.0249112 0.609 0.542632
## Hobbies_CA_2.l27 0.0200324 0.0310898 0.644 0.519436
## Hobbies_CA_3.l27 0.0218418 0.0236846 0.922 0.356546
## Hobbies_CA_1.l28 0.1024232 0.0247102 4.145 3.55e-05 ***
## Hobbies_CA_2.l28 0.0415709 0.0310519 1.339 0.180814
## Hobbies_CA_3.l28 0.0075447 0.0236039 0.320 0.749278
## const 22.9973912 10.3954830 2.212 0.027071 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 62.79 on 1856 degrees of freedom
## Multiple R-Squared: 0.5175, Adjusted R-squared: 0.4957
## F-statistic: 23.7 on 84 and 1856 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Hobbies_CA_2:
## =============================================
## Hobbies_CA_2 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Hobbies_CA_1.l8 + Hobbies_CA_2.l8 + Hobbies_CA_3.l8 + Hobbies_CA_1.l9 + Hobbies_CA_2.l9 + Hobbies_CA_3.l9 + Hobbies_CA_1.l10 + Hobbies_CA_2.l10 + Hobbies_CA_3.l10 + Hobbies_CA_1.l11 + Hobbies_CA_2.l11 + Hobbies_CA_3.l11 + Hobbies_CA_1.l12 + Hobbies_CA_2.l12 + Hobbies_CA_3.l12 + Hobbies_CA_1.l13 + Hobbies_CA_2.l13 + Hobbies_CA_3.l13 + Hobbies_CA_1.l14 + Hobbies_CA_2.l14 + Hobbies_CA_3.l14 + Hobbies_CA_1.l15 + Hobbies_CA_2.l15 + Hobbies_CA_3.l15 + Hobbies_CA_1.l16 + Hobbies_CA_2.l16 + Hobbies_CA_3.l16 + Hobbies_CA_1.l17 + Hobbies_CA_2.l17 + Hobbies_CA_3.l17 + Hobbies_CA_1.l18 + Hobbies_CA_2.l18 + Hobbies_CA_3.l18 + Hobbies_CA_1.l19 + Hobbies_CA_2.l19 + Hobbies_CA_3.l19 + Hobbies_CA_1.l20 + Hobbies_CA_2.l20 + Hobbies_CA_3.l20 + Hobbies_CA_1.l21 + Hobbies_CA_2.l21 + Hobbies_CA_3.l21 + Hobbies_CA_1.l22 + Hobbies_CA_2.l22 + Hobbies_CA_3.l22 + Hobbies_CA_1.l23 + Hobbies_CA_2.l23 + Hobbies_CA_3.l23 + Hobbies_CA_1.l24 + Hobbies_CA_2.l24 + Hobbies_CA_3.l24 + Hobbies_CA_1.l25 + Hobbies_CA_2.l25 + Hobbies_CA_3.l25 + Hobbies_CA_1.l26 + Hobbies_CA_2.l26 + Hobbies_CA_3.l26 + Hobbies_CA_1.l27 + Hobbies_CA_2.l27 + Hobbies_CA_3.l27 + Hobbies_CA_1.l28 + Hobbies_CA_2.l28 + Hobbies_CA_3.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0853193 0.0195516 4.364 1.35e-05 ***
## Hobbies_CA_2.l1 0.0404757 0.0245686 1.647 0.099634 .
## Hobbies_CA_3.l1 0.0280237 0.0186428 1.503 0.132961
## Hobbies_CA_1.l2 0.0075478 0.0198424 0.380 0.703702
## Hobbies_CA_2.l2 -0.0229462 0.0245301 -0.935 0.349688
## Hobbies_CA_3.l2 0.0017067 0.0187019 0.091 0.927296
## Hobbies_CA_1.l3 0.0420084 0.0198654 2.115 0.034592 *
## Hobbies_CA_2.l3 0.0294316 0.0245387 1.199 0.230528
## Hobbies_CA_3.l3 -0.0007662 0.0187484 -0.041 0.967404
## Hobbies_CA_1.l4 0.0105182 0.0198762 0.529 0.596739
## Hobbies_CA_2.l4 0.0049751 0.0245256 0.203 0.839271
## Hobbies_CA_3.l4 0.0188170 0.0187242 1.005 0.315051
## Hobbies_CA_1.l5 -0.0076500 0.0198324 -0.386 0.699739
## Hobbies_CA_2.l5 -0.0014462 0.0245203 -0.059 0.952975
## Hobbies_CA_3.l5 0.0223236 0.0188130 1.187 0.235534
## Hobbies_CA_1.l6 -0.0107651 0.0198251 -0.543 0.587191
## Hobbies_CA_2.l6 0.0594980 0.0244969 2.429 0.015244 *
## Hobbies_CA_3.l6 0.0097495 0.0187731 0.519 0.603589
## Hobbies_CA_1.l7 0.0130560 0.0198039 0.659 0.509809
## Hobbies_CA_2.l7 0.1655137 0.0245537 6.741 2.09e-11 ***
## Hobbies_CA_3.l7 0.0314364 0.0187903 1.673 0.094494 .
## Hobbies_CA_1.l8 0.0120449 0.0198509 0.607 0.544077
## Hobbies_CA_2.l8 0.0668251 0.0248240 2.692 0.007167 **
## Hobbies_CA_3.l8 -0.0318454 0.0188111 -1.693 0.090641 .
## Hobbies_CA_1.l9 -0.0298090 0.0198536 -1.501 0.133412
## Hobbies_CA_2.l9 0.0115962 0.0248701 0.466 0.641078
## Hobbies_CA_3.l9 0.0025186 0.0188246 0.134 0.893579
## Hobbies_CA_1.l10 -0.0149443 0.0198296 -0.754 0.451162
## Hobbies_CA_2.l10 0.0174069 0.0248234 0.701 0.483247
## Hobbies_CA_3.l10 0.0248409 0.0188340 1.319 0.187354
## Hobbies_CA_1.l11 -0.0258130 0.0198188 -1.302 0.192925
## Hobbies_CA_2.l11 0.0201731 0.0248298 0.812 0.416635
## Hobbies_CA_3.l11 0.0070766 0.0188419 0.376 0.707274
## Hobbies_CA_1.l12 -0.0380857 0.0198260 -1.921 0.054885 .
## Hobbies_CA_2.l12 0.0213259 0.0248468 0.858 0.390841
## Hobbies_CA_3.l12 -0.0085682 0.0188234 -0.455 0.649025
## Hobbies_CA_1.l13 0.0039749 0.0198183 0.201 0.841060
## Hobbies_CA_2.l13 0.0735068 0.0247639 2.968 0.003033 **
## Hobbies_CA_3.l13 0.0107535 0.0188501 0.570 0.568424
## Hobbies_CA_1.l14 0.0231031 0.0198174 1.166 0.243847
## Hobbies_CA_2.l14 0.1222592 0.0247513 4.940 8.53e-07 ***
## Hobbies_CA_3.l14 0.0022145 0.0188520 0.117 0.906501
## Hobbies_CA_1.l15 -0.0271493 0.0198109 -1.370 0.170720
## Hobbies_CA_2.l15 0.0310547 0.0248036 1.252 0.210719
## Hobbies_CA_3.l15 -0.0262607 0.0188174 -1.396 0.163017
## Hobbies_CA_1.l16 -0.0123995 0.0198186 -0.626 0.531624
## Hobbies_CA_2.l16 -0.0087354 0.0247651 -0.353 0.724333
## Hobbies_CA_3.l16 -0.0469068 0.0188322 -2.491 0.012833 *
## Hobbies_CA_1.l17 0.0045582 0.0198255 0.230 0.818181
## Hobbies_CA_2.l17 -0.0239796 0.0247683 -0.968 0.333092
## Hobbies_CA_3.l17 0.0019847 0.0188331 0.105 0.916082
## Hobbies_CA_1.l18 0.0032330 0.0198359 0.163 0.870546
## Hobbies_CA_2.l18 0.0026815 0.0247523 0.108 0.913744
## Hobbies_CA_3.l18 -0.0063822 0.0188066 -0.339 0.734377
## Hobbies_CA_1.l19 0.0084849 0.0198637 0.427 0.669316
## Hobbies_CA_2.l19 -0.0715108 0.0247521 -2.889 0.003909 **
## Hobbies_CA_3.l19 -0.0132574 0.0188208 -0.704 0.481270
## Hobbies_CA_1.l20 -0.0299367 0.0198824 -1.506 0.132317
## Hobbies_CA_2.l20 0.0317558 0.0248316 1.279 0.201110
## Hobbies_CA_3.l20 0.0350210 0.0187890 1.864 0.062492 .
## Hobbies_CA_1.l21 -0.0038459 0.0198206 -0.194 0.846171
## Hobbies_CA_2.l21 0.0904938 0.0247868 3.651 0.000269 ***
## Hobbies_CA_3.l21 0.0205613 0.0188096 1.093 0.274481
## Hobbies_CA_1.l22 -0.0055600 0.0196854 -0.282 0.777634
## Hobbies_CA_2.l22 0.0389297 0.0246158 1.581 0.113936
## Hobbies_CA_3.l22 -0.0042344 0.0188081 -0.225 0.821899
## Hobbies_CA_1.l23 -0.0127104 0.0196647 -0.646 0.518129
## Hobbies_CA_2.l23 0.0140296 0.0246040 0.570 0.568600
## Hobbies_CA_3.l23 -0.0403490 0.0188219 -2.144 0.032184 *
## Hobbies_CA_1.l24 -0.0384745 0.0196903 -1.954 0.050854 .
## Hobbies_CA_2.l24 0.0190804 0.0246343 0.775 0.438706
## Hobbies_CA_3.l24 -0.0071361 0.0188374 -0.379 0.704858
## Hobbies_CA_1.l25 -0.0302702 0.0197183 -1.535 0.124921
## Hobbies_CA_2.l25 0.0315515 0.0246494 1.280 0.200702
## Hobbies_CA_3.l25 -0.0028348 0.0187345 -0.151 0.879745
## Hobbies_CA_1.l26 -0.0264101 0.0197276 -1.339 0.180820
## Hobbies_CA_2.l26 0.0095998 0.0245940 0.390 0.696338
## Hobbies_CA_3.l26 -0.0064972 0.0187464 -0.347 0.728942
## Hobbies_CA_1.l27 -0.0033718 0.0196993 -0.171 0.864115
## Hobbies_CA_2.l27 0.0434078 0.0245853 1.766 0.077628 .
## Hobbies_CA_3.l27 0.0430725 0.0187294 2.300 0.021574 *
## Hobbies_CA_1.l28 0.0249822 0.0195404 1.278 0.201236
## Hobbies_CA_2.l28 0.1264651 0.0245553 5.150 2.88e-07 ***
## Hobbies_CA_3.l28 0.0140658 0.0186655 0.754 0.451201
## const 10.0634830 8.2205679 1.224 0.221038
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 49.66 on 1856 degrees of freedom
## Multiple R-Squared: 0.5603, Adjusted R-squared: 0.5404
## F-statistic: 28.15 on 84 and 1856 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Hobbies_CA_3:
## =============================================
## Hobbies_CA_3 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Hobbies_CA_1.l8 + Hobbies_CA_2.l8 + Hobbies_CA_3.l8 + Hobbies_CA_1.l9 + Hobbies_CA_2.l9 + Hobbies_CA_3.l9 + Hobbies_CA_1.l10 + Hobbies_CA_2.l10 + Hobbies_CA_3.l10 + Hobbies_CA_1.l11 + Hobbies_CA_2.l11 + Hobbies_CA_3.l11 + Hobbies_CA_1.l12 + Hobbies_CA_2.l12 + Hobbies_CA_3.l12 + Hobbies_CA_1.l13 + Hobbies_CA_2.l13 + Hobbies_CA_3.l13 + Hobbies_CA_1.l14 + Hobbies_CA_2.l14 + Hobbies_CA_3.l14 + Hobbies_CA_1.l15 + Hobbies_CA_2.l15 + Hobbies_CA_3.l15 + Hobbies_CA_1.l16 + Hobbies_CA_2.l16 + Hobbies_CA_3.l16 + Hobbies_CA_1.l17 + Hobbies_CA_2.l17 + Hobbies_CA_3.l17 + Hobbies_CA_1.l18 + Hobbies_CA_2.l18 + Hobbies_CA_3.l18 + Hobbies_CA_1.l19 + Hobbies_CA_2.l19 + Hobbies_CA_3.l19 + Hobbies_CA_1.l20 + Hobbies_CA_2.l20 + Hobbies_CA_3.l20 + Hobbies_CA_1.l21 + Hobbies_CA_2.l21 + Hobbies_CA_3.l21 + Hobbies_CA_1.l22 + Hobbies_CA_2.l22 + Hobbies_CA_3.l22 + Hobbies_CA_1.l23 + Hobbies_CA_2.l23 + Hobbies_CA_3.l23 + Hobbies_CA_1.l24 + Hobbies_CA_2.l24 + Hobbies_CA_3.l24 + Hobbies_CA_1.l25 + Hobbies_CA_2.l25 + Hobbies_CA_3.l25 + Hobbies_CA_1.l26 + Hobbies_CA_2.l26 + Hobbies_CA_3.l26 + Hobbies_CA_1.l27 + Hobbies_CA_2.l27 + Hobbies_CA_3.l27 + Hobbies_CA_1.l28 + Hobbies_CA_2.l28 + Hobbies_CA_3.l28 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.139983 0.025791 5.427 6.47e-08 ***
## Hobbies_CA_2.l1 0.024152 0.032409 0.745 0.45623
## Hobbies_CA_3.l1 0.077306 0.024593 3.143 0.00170 **
## Hobbies_CA_1.l2 0.047037 0.026175 1.797 0.07249 .
## Hobbies_CA_2.l2 -0.002766 0.032359 -0.085 0.93189
## Hobbies_CA_3.l2 -0.007681 0.024670 -0.311 0.75558
## Hobbies_CA_1.l3 0.020987 0.026205 0.801 0.42331
## Hobbies_CA_2.l3 0.005604 0.032370 0.173 0.86258
## Hobbies_CA_3.l3 -0.003826 0.024732 -0.155 0.87707
## Hobbies_CA_1.l4 0.005455 0.026219 0.208 0.83520
## Hobbies_CA_2.l4 -0.033103 0.032353 -1.023 0.30635
## Hobbies_CA_3.l4 0.109080 0.024700 4.416 1.06e-05 ***
## Hobbies_CA_1.l5 0.004455 0.026162 0.170 0.86481
## Hobbies_CA_2.l5 -0.042427 0.032346 -1.312 0.18979
## Hobbies_CA_3.l5 0.028079 0.024817 1.131 0.25801
## Hobbies_CA_1.l6 0.031042 0.026152 1.187 0.23538
## Hobbies_CA_2.l6 -0.024808 0.032315 -0.768 0.44277
## Hobbies_CA_3.l6 0.049215 0.024764 1.987 0.04703 *
## Hobbies_CA_1.l7 -0.003474 0.026124 -0.133 0.89422
## Hobbies_CA_2.l7 0.064573 0.032390 1.994 0.04634 *
## Hobbies_CA_3.l7 0.084560 0.024787 3.411 0.00066 ***
## Hobbies_CA_1.l8 0.007720 0.026186 0.295 0.76817
## Hobbies_CA_2.l8 0.032867 0.032746 1.004 0.31566
## Hobbies_CA_3.l8 -0.030582 0.024814 -1.232 0.21794
## Hobbies_CA_1.l9 -0.017688 0.026190 -0.675 0.49951
## Hobbies_CA_2.l9 -0.037982 0.032807 -1.158 0.24713
## Hobbies_CA_3.l9 0.010975 0.024832 0.442 0.65857
## Hobbies_CA_1.l10 0.012066 0.026158 0.461 0.64467
## Hobbies_CA_2.l10 -0.013608 0.032746 -0.416 0.67777
## Hobbies_CA_3.l10 0.016856 0.024845 0.678 0.49756
## Hobbies_CA_1.l11 -0.025487 0.026144 -0.975 0.32974
## Hobbies_CA_2.l11 -0.053834 0.032754 -1.644 0.10043
## Hobbies_CA_3.l11 -0.010973 0.024855 -0.441 0.65891
## Hobbies_CA_1.l12 -0.025643 0.026153 -0.980 0.32697
## Hobbies_CA_2.l12 -0.041289 0.032776 -1.260 0.20793
## Hobbies_CA_3.l12 0.042658 0.024831 1.718 0.08597 .
## Hobbies_CA_1.l13 0.021624 0.026143 0.827 0.40826
## Hobbies_CA_2.l13 -0.005622 0.032667 -0.172 0.86338
## Hobbies_CA_3.l13 0.072696 0.024866 2.924 0.00350 **
## Hobbies_CA_1.l14 0.013475 0.026142 0.515 0.60630
## Hobbies_CA_2.l14 0.057522 0.032650 1.762 0.07828 .
## Hobbies_CA_3.l14 0.076803 0.024868 3.088 0.00204 **
## Hobbies_CA_1.l15 0.028473 0.026133 1.090 0.27606
## Hobbies_CA_2.l15 -0.015704 0.032719 -0.480 0.63130
## Hobbies_CA_3.l15 0.055423 0.024823 2.233 0.02569 *
## Hobbies_CA_1.l16 0.006825 0.026144 0.261 0.79408
## Hobbies_CA_2.l16 -0.034809 0.032669 -1.066 0.28679
## Hobbies_CA_3.l16 0.016661 0.024842 0.671 0.50252
## Hobbies_CA_1.l17 -0.019887 0.026153 -0.760 0.44709
## Hobbies_CA_2.l17 -0.013450 0.032673 -0.412 0.68065
## Hobbies_CA_3.l17 0.016488 0.024843 0.664 0.50699
## Hobbies_CA_1.l18 0.005787 0.026166 0.221 0.82500
## Hobbies_CA_2.l18 -0.003225 0.032652 -0.099 0.92133
## Hobbies_CA_3.l18 0.017181 0.024809 0.693 0.48868
## Hobbies_CA_1.l19 -0.022313 0.026203 -0.852 0.39458
## Hobbies_CA_2.l19 -0.074784 0.032652 -2.290 0.02211 *
## Hobbies_CA_3.l19 0.021095 0.024827 0.850 0.39561
## Hobbies_CA_1.l20 0.005892 0.026228 0.225 0.82227
## Hobbies_CA_2.l20 -0.020755 0.032756 -0.634 0.52640
## Hobbies_CA_3.l20 0.009219 0.024785 0.372 0.70997
## Hobbies_CA_1.l21 -0.028431 0.026146 -1.087 0.27700
## Hobbies_CA_2.l21 0.013685 0.032697 0.419 0.67560
## Hobbies_CA_3.l21 0.077787 0.024813 3.135 0.00175 **
## Hobbies_CA_1.l22 -0.005156 0.025968 -0.199 0.84263
## Hobbies_CA_2.l22 0.068453 0.032472 2.108 0.03516 *
## Hobbies_CA_3.l22 0.008496 0.024811 0.342 0.73205
## Hobbies_CA_1.l23 -0.067658 0.025941 -2.608 0.00918 **
## Hobbies_CA_2.l23 -0.034614 0.032456 -1.066 0.28635
## Hobbies_CA_3.l23 0.008734 0.024829 0.352 0.72505
## Hobbies_CA_1.l24 -0.030650 0.025974 -1.180 0.23815
## Hobbies_CA_2.l24 0.031149 0.032496 0.959 0.33791
## Hobbies_CA_3.l24 0.007169 0.024849 0.289 0.77298
## Hobbies_CA_1.l25 -0.007700 0.026011 -0.296 0.76725
## Hobbies_CA_2.l25 0.034007 0.032516 1.046 0.29576
## Hobbies_CA_3.l25 0.039324 0.024713 1.591 0.11174
## Hobbies_CA_1.l26 -0.007718 0.026024 -0.297 0.76681
## Hobbies_CA_2.l26 0.024884 0.032443 0.767 0.44317
## Hobbies_CA_3.l26 0.002432 0.024729 0.098 0.92167
## Hobbies_CA_1.l27 -0.007451 0.025986 -0.287 0.77435
## Hobbies_CA_2.l27 -0.006728 0.032431 -0.207 0.83567
## Hobbies_CA_3.l27 0.055901 0.024707 2.263 0.02378 *
## Hobbies_CA_1.l28 0.051543 0.025777 2.000 0.04569 *
## Hobbies_CA_2.l28 0.037836 0.032392 1.168 0.24293
## Hobbies_CA_3.l28 0.038662 0.024622 1.570 0.11654
## const 13.769230 10.844088 1.270 0.20433
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 65.5 on 1856 degrees of freedom
## Multiple R-Squared: 0.5719, Adjusted R-squared: 0.5525
## F-statistic: 29.52 on 84 and 1856 DF, p-value: < 2.2e-16
##
##
##
## Covariance matrix of residuals:
## Hobbies_CA_1 Hobbies_CA_2 Hobbies_CA_3
## Hobbies_CA_1 3943.0 904.9 1121
## Hobbies_CA_2 904.9 2465.7 855
## Hobbies_CA_3 1121.4 855.0 4291
##
## Correlation matrix of residuals:
## Hobbies_CA_1 Hobbies_CA_2 Hobbies_CA_3
## Hobbies_CA_1 1.0000 0.2902 0.2726
## Hobbies_CA_2 0.2902 1.0000 0.2629
## Hobbies_CA_3 0.2726 0.2629 1.0000Serial_hobby <- serial.test(Model_hobby, lags.pt = 5, type = "PT.asymptotic")## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs produced
## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs producedSerial_hobby##
## Portmanteau Test (asymptotic)
##
## data: Residuals of VAR object Model_hobby
## Chi-squared = 1.1929, df = -207, p-value = NAArch_hobby <- arch.test(Model_hobby, lags.multi = 15, multivariate.only = TRUE)
Arch_hobby##
## ARCH (multivariate)
##
## data: Residuals of VAR object Model_hobby
## Chi-squared = 657.31, df = 540, p-value = 0.0003901Norm_hobby <- normality.test(Model_hobby, multivariate.only = TRUE)
Norm_hobby## $JB
##
## JB-Test (multivariate)
##
## data: Residuals of VAR object Model_hobby
## Chi-squared = 568.73, df = 6, p-value < 2.2e-16
##
##
## $Skewness
##
## Skewness only (multivariate)
##
## data: Residuals of VAR object Model_hobby
## Chi-squared = 59.605, df = 3, p-value = 7.139e-13
##
##
## $Kurtosis
##
## Kurtosis only (multivariate)
##
## data: Residuals of VAR object Model_hobby
## Chi-squared = 509.13, df = 3, p-value < 2.2e-16Stability_hobby <- stability(Model_hobby, type = "OLS-CUSUM")
plot(Stability_hobby)
forecast <- predict(Model_hobby, n.ahead = 28, ci = 0.95)
result_hobby = forecast$fcst$Hobbies_CA_1+forecast$fcst$Hobbies_CA_2+forecast$fcst$Hobbies_CA_3
print(result_hobby)## fcst lower upper CI
## [1,] 1050.1934 701.4144 1398.972 348.7790
## [2,] 993.3086 639.2396 1347.378 354.0690
## [3,] 1028.5736 673.3713 1383.776 355.2023
## [4,] 1050.4894 694.7218 1406.257 355.7676
## [5,] 1201.0746 844.1037 1558.045 356.9709
## [6,] 1357.4274 1000.1055 1714.749 357.3218
## [7,] 1255.6921 897.5203 1613.864 358.1718
## [8,] 1012.9224 649.8700 1375.975 363.0524
## [9,] 990.0824 625.8036 1354.361 364.2788
## [10,] 1034.6852 670.2286 1399.142 364.4566
## [11,] 1004.9522 640.0449 1369.859 364.9073
## [12,] 1176.6572 811.3863 1541.928 365.2709
## [13,] 1348.0941 982.5208 1713.667 365.5733
## [14,] 1237.2726 870.3510 1604.194 366.9216
## [15,] 1025.4989 653.3495 1397.648 372.1494
## [16,] 977.6715 603.6848 1351.658 373.9867
## [17,] 1014.0170 639.2977 1388.736 374.7192
## [18,] 1044.5832 669.5356 1419.631 375.0476
## [19,] 1200.2349 824.6811 1575.789 375.5537
## [20,] 1364.1585 987.4793 1740.838 376.6793
## [21,] 1261.9034 884.2550 1639.552 377.6484
## [22,] 1051.2799 669.3772 1433.183 381.9027
## [23,] 990.9859 607.4914 1374.480 383.4945
## [24,] 1042.1361 658.1673 1426.105 383.9688
## [25,] 1041.6032 657.3362 1425.870 384.2670
## [26,] 1183.9646 799.1593 1568.770 384.8053
## [27,] 1331.9574 946.8864 1717.028 385.0710
## [28,] 1227.4598 840.6514 1614.268 386.8085Analysis for the second type of products HOUSEHOLD
We use similar codes as in 2.1 to build models for different types of products.
v_household <- cbind(Household_1_CA_1, Household_2_CA_1, Household_1_CA_2, Household_2_CA_2, Household_1_CA_3, Household_2_CA_3)
colnames(v_household) <- cbind("Household_1_CA_1","Household_2_CA_1","Household_1_CA_2", "Household_2_CA_2", "Household_1_CA_3", "Household_2_CA_3")
lagselect <- VARselect(v_household, lag.max = 60, type = "const")
lagselect$selection## AIC(n) HQ(n) SC(n) FPE(n)
## 14 7 7 14Model_household <- VAR(v_household, p = 14, type = "const", season = NULL, exog = NULL)
summary(Model_household)##
## VAR Estimation Results:
## =========================
## Endogenous variables: Household_1_CA_1, Household_2_CA_1, Household_1_CA_2, Household_2_CA_2, Household_1_CA_3, Household_2_CA_3
## Deterministic variables: const
## Sample size: 1955
## Log Likelihood: -53784.458
## Roots of the characteristic polynomial:
## 0.9967 0.9967 0.9955 0.9955 0.9844 0.9844 0.9797 0.9617 0.9617 0.9216 0.9216 0.9199 0.9199 0.9163 0.9163 0.9094 0.909 0.909 0.9031 0.9031 0.895 0.895 0.8831 0.88 0.88 0.876 0.876 0.8709 0.8709 0.8708 0.8628 0.8628 0.8627 0.8627 0.8583 0.8583 0.8561 0.8561 0.8539 0.8539 0.8535 0.8535 0.8521 0.8521 0.8517 0.8517 0.8499 0.8499 0.8444 0.8338 0.8338 0.8297 0.8297 0.8246 0.8246 0.824 0.824 0.8235 0.8235 0.8223 0.8223 0.8204 0.8204 0.8184 0.8184 0.816 0.8029 0.8029 0.7977 0.7977 0.7752 0.7752 0.7741 0.7741 0.7678 0.7678 0.7603 0.742 0.742 0.7319 0.7319 0.6625 0.6625 0.05893
## Call:
## VAR(y = v_household, p = 14, type = "const", exogen = NULL)
##
##
## Estimation results for equation Household_1_CA_1:
## =================================================
## Household_1_CA_1 = Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Household_1_CA_1.l1 0.1609737 0.0283499 5.678 1.58e-08 ***
## Household_2_CA_1.l1 0.1246131 0.0482939 2.580 0.009947 **
## Household_1_CA_2.l1 0.0703023 0.0283267 2.482 0.013158 *
## Household_2_CA_2.l1 -0.0569293 0.0364686 -1.561 0.118681
## Household_1_CA_3.l1 0.0748117 0.0183684 4.073 4.84e-05 ***
## Household_2_CA_3.l1 -0.0779975 0.0332381 -2.347 0.019048 *
## Household_1_CA_1.l2 0.1062528 0.0286222 3.712 0.000211 ***
## Household_2_CA_1.l2 -0.0753123 0.0489000 -1.540 0.123698
## Household_1_CA_2.l2 -0.0663147 0.0288536 -2.298 0.021654 *
## Household_2_CA_2.l2 -0.0529352 0.0367604 -1.440 0.150033
## Household_1_CA_3.l2 -0.0029556 0.0189365 -0.156 0.875985
## Household_2_CA_3.l2 -0.0393081 0.0337913 -1.163 0.244872
## Household_1_CA_1.l3 0.0322915 0.0286582 1.127 0.259981
## Household_2_CA_1.l3 -0.0180373 0.0490033 -0.368 0.712853
## Household_1_CA_2.l3 0.0045746 0.0290420 0.158 0.874854
## Household_2_CA_2.l3 -0.0180941 0.0368447 -0.491 0.623420
## Household_1_CA_3.l3 -0.0065049 0.0189968 -0.342 0.732073
## Household_2_CA_3.l3 -0.0168174 0.0339132 -0.496 0.620027
## Household_1_CA_1.l4 -0.0140032 0.0286394 -0.489 0.624935
## Household_2_CA_1.l4 -0.0618764 0.0489789 -1.263 0.206628
## Household_1_CA_2.l4 -0.0297630 0.0290584 -1.024 0.305852
## Household_2_CA_2.l4 -0.0865962 0.0369057 -2.346 0.019059 *
## Household_1_CA_3.l4 0.0384501 0.0189836 2.025 0.042964 *
## Household_2_CA_3.l4 0.0095744 0.0339484 0.282 0.777954
## Household_1_CA_1.l5 0.0778544 0.0286670 2.716 0.006672 **
## Household_2_CA_1.l5 -0.0504053 0.0490917 -1.027 0.304667
## Household_1_CA_2.l5 -0.0774131 0.0290318 -2.666 0.007731 **
## Household_2_CA_2.l5 -0.0289863 0.0369883 -0.784 0.433338
## Household_1_CA_3.l5 0.0024407 0.0190062 0.128 0.897834
## Household_2_CA_3.l5 -0.0480821 0.0340241 -1.413 0.157770
## Household_1_CA_1.l6 0.0501276 0.0287860 1.741 0.081780 .
## Household_2_CA_1.l6 0.0031691 0.0490378 0.065 0.948478
## Household_1_CA_2.l6 -0.0127659 0.0290850 -0.439 0.660771
## Household_2_CA_2.l6 -0.0021457 0.0369516 -0.058 0.953700
## Household_1_CA_3.l6 0.0262769 0.0190293 1.381 0.167484
## Household_2_CA_3.l6 -0.0053411 0.0340797 -0.157 0.875480
## Household_1_CA_1.l7 0.0841310 0.0289139 2.910 0.003660 **
## Household_2_CA_1.l7 -0.0338102 0.0492458 -0.687 0.492446
## Household_1_CA_2.l7 0.1869229 0.0291299 6.417 1.76e-10 ***
## Household_2_CA_2.l7 0.0682777 0.0368114 1.855 0.063783 .
## Household_1_CA_3.l7 -0.0379874 0.0189951 -2.000 0.045661 *
## Household_2_CA_3.l7 0.0442779 0.0344290 1.286 0.198580
## Household_1_CA_1.l8 0.0409370 0.0288215 1.420 0.155668
## Household_2_CA_1.l8 0.0217641 0.0492687 0.442 0.658727
## Household_1_CA_2.l8 -0.0076765 0.0296962 -0.259 0.796048
## Household_2_CA_2.l8 0.0554433 0.0367228 1.510 0.131269
## Household_1_CA_3.l8 -0.0121107 0.0190105 -0.637 0.524169
## Household_2_CA_3.l8 -0.0228010 0.0344979 -0.661 0.508733
## Household_1_CA_1.l9 0.0034947 0.0288302 0.121 0.903534
## Household_2_CA_1.l9 0.0342708 0.0489263 0.700 0.483728
## Household_1_CA_2.l9 -0.0418817 0.0296787 -1.411 0.158361
## Household_2_CA_2.l9 -0.0357302 0.0368851 -0.969 0.332825
## Household_1_CA_3.l9 -0.0258307 0.0189709 -1.362 0.173490
## Household_2_CA_3.l9 0.0299394 0.0342221 0.875 0.381766
## Household_1_CA_1.l10 0.0057573 0.0287177 0.200 0.841126
## Household_2_CA_1.l10 0.1153640 0.0488319 2.362 0.018255 *
## Household_1_CA_2.l10 -0.0107840 0.0296094 -0.364 0.715745
## Household_2_CA_2.l10 0.0027802 0.0368768 0.075 0.939912
## Household_1_CA_3.l10 0.0130701 0.0190167 0.687 0.491980
## Household_2_CA_3.l10 -0.0340177 0.0341271 -0.997 0.318992
## Household_1_CA_1.l11 -0.0165720 0.0286519 -0.578 0.563070
## Household_2_CA_1.l11 0.0482897 0.0486664 0.992 0.321199
## Household_1_CA_2.l11 0.0068363 0.0297117 0.230 0.818049
## Household_2_CA_2.l11 0.0422153 0.0370134 1.141 0.254207
## Household_1_CA_3.l11 -0.0227760 0.0189927 -1.199 0.230602
## Household_2_CA_3.l11 0.0479112 0.0340282 1.408 0.159301
## Household_1_CA_1.l12 0.0144408 0.0286761 0.504 0.614613
## Household_2_CA_1.l12 -0.0205569 0.0487044 -0.422 0.673020
## Household_1_CA_2.l12 -0.0024426 0.0296364 -0.082 0.934323
## Household_2_CA_2.l12 0.0247670 0.0369175 0.671 0.502383
## Household_1_CA_3.l12 -0.0022990 0.0189940 -0.121 0.903675
## Household_2_CA_3.l12 0.0954343 0.0340790 2.800 0.005157 **
## Household_1_CA_1.l13 0.0893392 0.0285771 3.126 0.001798 **
## Household_2_CA_1.l13 -0.0201787 0.0484643 -0.416 0.677193
## Household_1_CA_2.l13 -0.0708274 0.0295514 -2.397 0.016639 *
## Household_2_CA_2.l13 0.0009072 0.0367741 0.025 0.980321
## Household_1_CA_3.l13 0.0265678 0.0189506 1.402 0.161095
## Household_2_CA_3.l13 0.0054621 0.0340426 0.160 0.872545
## Household_1_CA_1.l14 0.1627621 0.0281655 5.779 8.80e-09 ***
## Household_2_CA_1.l14 0.0683026 0.0480676 1.421 0.155492
## Household_1_CA_2.l14 0.0950849 0.0290184 3.277 0.001069 **
## Household_2_CA_2.l14 0.0213471 0.0363538 0.587 0.557137
## Household_1_CA_3.l14 0.0158597 0.0183376 0.865 0.387218
## Household_2_CA_3.l14 -0.0178595 0.0335592 -0.532 0.594665
## const 1.6946592 5.7558170 0.294 0.768465
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 30.5 on 1870 degrees of freedom
## Multiple R-Squared: 0.8248, Adjusted R-squared: 0.8169
## F-statistic: 104.8 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_1:
## =================================================
## Household_2_CA_1 = Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Household_1_CA_1.l1 0.0001853 0.0158512 0.012 0.990674
## Household_2_CA_1.l1 0.1990406 0.0270024 7.371 2.53e-13 ***
## Household_1_CA_2.l1 0.0042590 0.0158382 0.269 0.788030
## Household_2_CA_2.l1 -0.0173208 0.0203905 -0.849 0.395738
## Household_1_CA_3.l1 0.0203303 0.0102703 1.980 0.047902 *
## Household_2_CA_3.l1 -0.0142514 0.0185843 -0.767 0.443267
## Household_1_CA_1.l2 0.0082165 0.0160034 0.513 0.607716
## Household_2_CA_1.l2 0.0467407 0.0273412 1.710 0.087518 .
## Household_1_CA_2.l2 -0.0306455 0.0161328 -1.900 0.057643 .
## Household_2_CA_2.l2 -0.0309045 0.0205537 -1.504 0.132854
## Household_1_CA_3.l2 -0.0218553 0.0105879 -2.064 0.039138 *
## Household_2_CA_3.l2 0.0111405 0.0188936 0.590 0.555500
## Household_1_CA_1.l3 -0.0089600 0.0160236 -0.559 0.576106
## Household_2_CA_1.l3 0.0367657 0.0273990 1.342 0.179803
## Household_1_CA_2.l3 -0.0138737 0.0162382 -0.854 0.393000
## Household_2_CA_2.l3 0.0079748 0.0206009 0.387 0.698717
## Household_1_CA_3.l3 0.0028559 0.0106216 0.269 0.788055
## Household_2_CA_3.l3 0.0128849 0.0189617 0.680 0.496892
## Household_1_CA_1.l4 -0.0331811 0.0160130 -2.072 0.038390 *
## Household_2_CA_1.l4 0.0481725 0.0273854 1.759 0.078731 .
## Household_1_CA_2.l4 -0.0055554 0.0162473 -0.342 0.732446
## Household_2_CA_2.l4 0.0036044 0.0206349 0.175 0.861352
## Household_1_CA_3.l4 0.0039543 0.0106142 0.373 0.709527
## Household_2_CA_3.l4 -0.0162535 0.0189815 -0.856 0.391950
## Household_1_CA_1.l5 0.0216078 0.0160285 1.348 0.177792
## Household_2_CA_1.l5 -0.0108699 0.0274484 -0.396 0.692142
## Household_1_CA_2.l5 -0.0605277 0.0162324 -3.729 0.000198 ***
## Household_2_CA_2.l5 -0.0121187 0.0206811 -0.586 0.557962
## Household_1_CA_3.l5 0.0158980 0.0106268 1.496 0.134816
## Household_2_CA_3.l5 -0.0018167 0.0190238 -0.095 0.923930
## Household_1_CA_1.l6 -0.0414318 0.0160950 -2.574 0.010124 *
## Household_2_CA_1.l6 0.0800035 0.0274183 2.918 0.003566 **
## Household_1_CA_2.l6 0.0236370 0.0162622 1.453 0.146254
## Household_2_CA_2.l6 0.0253953 0.0206606 1.229 0.219164
## Household_1_CA_3.l6 0.0117370 0.0106397 1.103 0.270112
## Household_2_CA_3.l6 0.0526952 0.0190548 2.765 0.005740 **
## Household_1_CA_1.l7 0.0032372 0.0161665 0.200 0.841316
## Household_2_CA_1.l7 0.1182934 0.0275346 4.296 1.83e-05 ***
## Household_1_CA_2.l7 0.0747370 0.0162873 4.589 4.76e-06 ***
## Household_2_CA_2.l7 0.0248285 0.0205822 1.206 0.227852
## Household_1_CA_3.l7 -0.0226482 0.0106207 -2.132 0.033099 *
## Household_2_CA_3.l7 0.0092403 0.0192501 0.480 0.631274
## Household_1_CA_1.l8 -0.0162723 0.0161148 -1.010 0.312736
## Household_2_CA_1.l8 0.0598068 0.0275474 2.171 0.030053 *
## Household_1_CA_2.l8 0.0010268 0.0166039 0.062 0.950696
## Household_2_CA_2.l8 0.0129377 0.0205327 0.630 0.528704
## Household_1_CA_3.l8 -0.0023596 0.0106293 -0.222 0.824349
## Household_2_CA_3.l8 -0.0195467 0.0192887 -1.013 0.311010
## Household_1_CA_1.l9 0.0086292 0.0161197 0.535 0.592492
## Household_2_CA_1.l9 0.0181042 0.0273559 0.662 0.508181
## Household_1_CA_2.l9 -0.0024941 0.0165941 -0.150 0.880546
## Household_2_CA_2.l9 -0.0288425 0.0206234 -1.399 0.162119
## Household_1_CA_3.l9 -0.0004074 0.0106071 -0.038 0.969364
## Household_2_CA_3.l9 0.0095832 0.0191345 0.501 0.616546
## Household_1_CA_1.l10 0.0117838 0.0160568 0.734 0.463113
## Household_2_CA_1.l10 0.0474972 0.0273032 1.740 0.082090 .
## Household_1_CA_2.l10 -0.0471242 0.0165554 -2.846 0.004469 **
## Household_2_CA_2.l10 0.0313855 0.0206188 1.522 0.128133
## Household_1_CA_3.l10 0.0131687 0.0106327 1.239 0.215684
## Household_2_CA_3.l10 -0.0339749 0.0190813 -1.781 0.075152 .
## Household_1_CA_1.l11 0.0211155 0.0160200 1.318 0.187643
## Household_2_CA_1.l11 -0.0054089 0.0272106 -0.199 0.842456
## Household_1_CA_2.l11 0.0255964 0.0166126 1.541 0.123539
## Household_2_CA_2.l11 -0.0281434 0.0206951 -1.360 0.174024
## Household_1_CA_3.l11 -0.0021556 0.0106193 -0.203 0.839168
## Household_2_CA_3.l11 0.0040922 0.0190260 0.215 0.829724
## Household_1_CA_1.l12 0.0083314 0.0160335 0.520 0.603386
## Household_2_CA_1.l12 -0.0029172 0.0272319 -0.107 0.914702
## Household_1_CA_2.l12 -0.0122199 0.0165705 -0.737 0.460942
## Household_2_CA_2.l12 0.0344451 0.0206415 1.669 0.095339 .
## Household_1_CA_3.l12 -0.0070396 0.0106200 -0.663 0.507499
## Household_2_CA_3.l12 0.0061432 0.0190545 0.322 0.747183
## Household_1_CA_1.l13 -0.0073214 0.0159782 -0.458 0.646854
## Household_2_CA_1.l13 0.0669206 0.0270977 2.470 0.013615 *
## Household_1_CA_2.l13 -0.0153723 0.0165230 -0.930 0.352306
## Household_2_CA_2.l13 -0.0036811 0.0205614 -0.179 0.857935
## Household_1_CA_3.l13 0.0061658 0.0105957 0.582 0.560698
## Household_2_CA_3.l13 0.0365075 0.0190341 1.918 0.055263 .
## Household_1_CA_1.l14 0.0711962 0.0157480 4.521 6.54e-06 ***
## Household_2_CA_1.l14 0.0729008 0.0268758 2.713 0.006739 **
## Household_1_CA_2.l14 0.0281734 0.0162249 1.736 0.082653 .
## Household_2_CA_2.l14 0.0244560 0.0203264 1.203 0.229064
## Household_1_CA_3.l14 -0.0180564 0.0102530 -1.761 0.078388 .
## Household_2_CA_3.l14 0.0217498 0.0187638 1.159 0.246548
## const 0.6714712 3.2182267 0.209 0.834747
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 17.05 on 1870 degrees of freedom
## Multiple R-Squared: 0.7317, Adjusted R-squared: 0.7196
## F-statistic: 60.7 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_2:
## =================================================
## Household_1_CA_2 = Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Household_1_CA_1.l1 -0.0296461 0.0285736 -1.038 0.299620
## Household_2_CA_1.l1 0.0406602 0.0486749 0.835 0.403632
## Household_1_CA_2.l1 0.2228206 0.0285502 7.805 9.86e-15 ***
## Household_2_CA_2.l1 0.0037824 0.0367563 0.103 0.918050
## Household_1_CA_3.l1 0.0326592 0.0185133 1.764 0.077880 .
## Household_2_CA_3.l1 -0.1008556 0.0335003 -3.011 0.002642 **
## Household_1_CA_1.l2 0.0190681 0.0288480 0.661 0.508704
## Household_2_CA_1.l2 -0.0257781 0.0492858 -0.523 0.601013
## Household_1_CA_2.l2 -0.0053257 0.0290813 -0.183 0.854714
## Household_2_CA_2.l2 -0.0605721 0.0370504 -1.635 0.102248
## Household_1_CA_3.l2 -0.0130964 0.0190859 -0.686 0.492684
## Household_2_CA_3.l2 -0.0517972 0.0340579 -1.521 0.128465
## Household_1_CA_1.l3 -0.0524358 0.0288843 -1.815 0.069627 .
## Household_2_CA_1.l3 -0.0344284 0.0493899 -0.697 0.485844
## Household_1_CA_2.l3 0.0700544 0.0292712 2.393 0.016796 *
## Household_2_CA_2.l3 0.0002962 0.0371354 0.008 0.993637
## Household_1_CA_3.l3 -0.0002454 0.0191467 -0.013 0.989774
## Household_2_CA_3.l3 0.0002000 0.0341807 0.006 0.995332
## Household_1_CA_1.l4 -0.0209017 0.0288653 -0.724 0.469089
## Household_2_CA_1.l4 -0.0974001 0.0493653 -1.973 0.048637 *
## Household_1_CA_2.l4 0.0365086 0.0292877 1.247 0.212719
## Household_2_CA_2.l4 -0.0281170 0.0371968 -0.756 0.449806
## Household_1_CA_3.l4 -0.0042042 0.0191334 -0.220 0.826106
## Household_2_CA_3.l4 -0.0076269 0.0342163 -0.223 0.823636
## Household_1_CA_1.l5 -0.0416169 0.0288932 -1.440 0.149930
## Household_2_CA_1.l5 0.0001966 0.0494790 0.004 0.996830
## Household_1_CA_2.l5 -0.0160695 0.0292608 -0.549 0.582945
## Household_2_CA_2.l5 -0.0869710 0.0372802 -2.333 0.019759 *
## Household_1_CA_3.l5 0.0549149 0.0191561 2.867 0.004194 **
## Household_2_CA_3.l5 0.0023319 0.0342926 0.068 0.945792
## Household_1_CA_1.l6 0.0321930 0.0290132 1.110 0.267314
## Household_2_CA_1.l6 -0.0675438 0.0494247 -1.367 0.171915
## Household_1_CA_2.l6 0.0358493 0.0293144 1.223 0.221512
## Household_2_CA_2.l6 0.0125360 0.0372431 0.337 0.736458
## Household_1_CA_3.l6 0.0170766 0.0191794 0.890 0.373387
## Household_2_CA_3.l6 0.0748478 0.0343486 2.179 0.029451 *
## Household_1_CA_1.l7 0.0288476 0.0291420 0.990 0.322353
## Household_2_CA_1.l7 -0.0120140 0.0496344 -0.242 0.808768
## Household_1_CA_2.l7 0.2578091 0.0293597 8.781 < 2e-16 ***
## Household_2_CA_2.l7 0.1201318 0.0371019 3.238 0.001225 **
## Household_1_CA_3.l7 -0.0650207 0.0191450 -3.396 0.000698 ***
## Household_2_CA_3.l7 0.0442220 0.0347006 1.274 0.202685
## Household_1_CA_1.l8 -0.0218657 0.0290489 -0.753 0.451713
## Household_2_CA_1.l8 0.0169113 0.0496575 0.341 0.733474
## Household_1_CA_2.l8 -0.0272340 0.0299305 -0.910 0.362988
## Household_2_CA_2.l8 0.0799127 0.0370126 2.159 0.030971 *
## Household_1_CA_3.l8 -0.0012553 0.0191605 -0.066 0.947773
## Household_2_CA_3.l8 -0.0105841 0.0347701 -0.304 0.760856
## Household_1_CA_1.l9 0.0258363 0.0290577 0.889 0.374042
## Household_2_CA_1.l9 0.0165673 0.0493123 0.336 0.736933
## Household_1_CA_2.l9 -0.0052515 0.0299129 -0.176 0.860660
## Household_2_CA_2.l9 -0.0729157 0.0371761 -1.961 0.049985 *
## Household_1_CA_3.l9 -0.0253310 0.0191206 -1.325 0.185399
## Household_2_CA_3.l9 0.0425424 0.0344921 1.233 0.217583
## Household_1_CA_1.l10 -0.0016486 0.0289442 -0.057 0.954585
## Household_2_CA_1.l10 0.0775335 0.0492171 1.575 0.115348
## Household_1_CA_2.l10 0.0377928 0.0298430 1.266 0.205533
## Household_2_CA_2.l10 -0.0542238 0.0371678 -1.459 0.144763
## Household_1_CA_3.l10 0.0238147 0.0191667 1.243 0.214206
## Household_2_CA_3.l10 -0.0176611 0.0343963 -0.513 0.607691
## Household_1_CA_1.l11 -0.0193630 0.0288780 -0.671 0.502615
## Household_2_CA_1.l11 0.0632938 0.0490504 1.290 0.197077
## Household_1_CA_2.l11 0.0680603 0.0299461 2.273 0.023154 *
## Household_2_CA_2.l11 -0.0151912 0.0373054 -0.407 0.683899
## Household_1_CA_3.l11 0.0069409 0.0191425 0.363 0.716953
## Household_2_CA_3.l11 -0.0586816 0.0342967 -1.711 0.087247 .
## Household_1_CA_1.l12 -0.0313201 0.0289023 -1.084 0.278658
## Household_2_CA_1.l12 -0.0038497 0.0490887 -0.078 0.937499
## Household_1_CA_2.l12 -0.0094552 0.0298702 -0.317 0.751627
## Household_2_CA_2.l12 0.0617426 0.0372088 1.659 0.097212 .
## Household_1_CA_3.l12 -0.0360886 0.0191438 -1.885 0.059567 .
## Household_2_CA_3.l12 0.0283519 0.0343479 0.825 0.409232
## Household_1_CA_1.l13 0.0290999 0.0288026 1.010 0.312472
## Household_2_CA_1.l13 -0.0241822 0.0488467 -0.495 0.620614
## Household_1_CA_2.l13 0.0546480 0.0297846 1.835 0.066698 .
## Household_2_CA_2.l13 0.0057003 0.0370643 0.154 0.877787
## Household_1_CA_3.l13 0.0442294 0.0191001 2.316 0.020684 *
## Household_2_CA_3.l13 0.0232196 0.0343112 0.677 0.498658
## Household_1_CA_1.l14 0.1117091 0.0283877 3.935 8.62e-05 ***
## Household_2_CA_1.l14 0.0512625 0.0484468 1.058 0.290138
## Household_1_CA_2.l14 0.1884995 0.0292473 6.445 1.47e-10 ***
## Household_2_CA_2.l14 0.1132716 0.0366406 3.091 0.002021 **
## Household_1_CA_3.l14 -0.0314702 0.0184823 -1.703 0.088787 .
## Household_2_CA_3.l14 0.0032436 0.0338240 0.096 0.923613
## const 5.0835125 5.8012299 0.876 0.380989
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 30.74 on 1870 degrees of freedom
## Multiple R-Squared: 0.8186, Adjusted R-squared: 0.8104
## F-statistic: 100.4 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_2:
## =================================================
## Household_2_CA_2 = Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Household_1_CA_1.l1 -0.0128061 0.0215926 -0.593 0.553201
## Household_2_CA_1.l1 0.0779661 0.0367828 2.120 0.034168 *
## Household_1_CA_2.l1 0.0010728 0.0215749 0.050 0.960348
## Household_2_CA_2.l1 0.1281734 0.0277761 4.615 4.21e-06 ***
## Household_1_CA_3.l1 0.0045093 0.0139902 0.322 0.747246
## Household_2_CA_3.l1 -0.0415067 0.0253156 -1.640 0.101264
## Household_1_CA_1.l2 0.0517036 0.0218000 2.372 0.017806 *
## Household_2_CA_1.l2 0.0017704 0.0372444 0.048 0.962092
## Household_1_CA_2.l2 -0.0958681 0.0219762 -4.362 1.36e-05 ***
## Household_2_CA_2.l2 0.0539239 0.0279984 1.926 0.054260 .
## Household_1_CA_3.l2 -0.0355617 0.0144229 -2.466 0.013766 *
## Household_2_CA_3.l2 0.0019888 0.0257370 0.077 0.938414
## Household_1_CA_1.l3 -0.0110352 0.0218274 -0.506 0.613222
## Household_2_CA_1.l3 -0.0035803 0.0373231 -0.096 0.923589
## Household_1_CA_2.l3 0.0023972 0.0221197 0.108 0.913710
## Household_2_CA_2.l3 0.0799219 0.0280626 2.848 0.004448 **
## Household_1_CA_3.l3 0.0006694 0.0144688 0.046 0.963102
## Household_2_CA_3.l3 0.0053519 0.0258298 0.207 0.835878
## Household_1_CA_1.l4 0.0071600 0.0218130 0.328 0.742763
## Household_2_CA_1.l4 -0.0360442 0.0373045 -0.966 0.334061
## Household_1_CA_2.l4 0.0073113 0.0221322 0.330 0.741174
## Household_2_CA_2.l4 -0.0057693 0.0281090 -0.205 0.837401
## Household_1_CA_3.l4 0.0055826 0.0144588 0.386 0.699463
## Household_2_CA_3.l4 -0.0024533 0.0258567 -0.095 0.924419
## Household_1_CA_1.l5 -0.0367181 0.0218341 -1.682 0.092797 .
## Household_2_CA_1.l5 0.0017385 0.0373905 0.046 0.962919
## Household_1_CA_2.l5 -0.0643252 0.0221119 -2.909 0.003668 **
## Household_2_CA_2.l5 0.0078079 0.0281720 0.277 0.781694
## Household_1_CA_3.l5 0.0171540 0.0144760 1.185 0.236169
## Household_2_CA_3.l5 0.0188520 0.0259143 0.727 0.467026
## Household_1_CA_1.l6 -0.0089813 0.0219248 -0.410 0.682116
## Household_2_CA_1.l6 0.0142899 0.0373494 0.383 0.702061
## Household_1_CA_2.l6 0.0051908 0.0221524 0.234 0.814761
## Household_2_CA_2.l6 0.0437508 0.0281440 1.555 0.120226
## Household_1_CA_3.l6 0.0059345 0.0144935 0.409 0.682249
## Household_2_CA_3.l6 0.0816898 0.0259566 3.147 0.001675 **
## Household_1_CA_1.l7 0.0334920 0.0220221 1.521 0.128470
## Household_2_CA_1.l7 -0.0368943 0.0375078 -0.984 0.325418
## Household_1_CA_2.l7 0.1398412 0.0221866 6.303 3.63e-10 ***
## Household_2_CA_2.l7 0.1936552 0.0280372 6.907 6.76e-12 ***
## Household_1_CA_3.l7 -0.0366966 0.0144675 -2.536 0.011278 *
## Household_2_CA_3.l7 -0.0281077 0.0262227 -1.072 0.283910
## Household_1_CA_1.l8 -0.0136445 0.0219517 -0.622 0.534302
## Household_2_CA_1.l8 0.0040360 0.0375253 0.108 0.914361
## Household_1_CA_2.l8 -0.0210031 0.0226179 -0.929 0.353214
## Household_2_CA_2.l8 0.1001436 0.0279698 3.580 0.000352 ***
## Household_1_CA_3.l8 0.0023583 0.0144792 0.163 0.870637
## Household_2_CA_3.l8 -0.0111101 0.0262752 -0.423 0.672462
## Household_1_CA_1.l9 -0.0165917 0.0219584 -0.756 0.449987
## Household_2_CA_1.l9 -0.0073537 0.0372644 -0.197 0.843584
## Household_1_CA_2.l9 -0.0602307 0.0226047 -2.665 0.007776 **
## Household_2_CA_2.l9 0.0245167 0.0280933 0.873 0.382945
## Household_1_CA_3.l9 0.0226966 0.0144491 1.571 0.116400
## Household_2_CA_3.l9 -0.0043659 0.0260651 -0.168 0.866994
## Household_1_CA_1.l10 0.0077116 0.0218727 0.353 0.724451
## Household_2_CA_1.l10 0.0163154 0.0371925 0.439 0.660948
## Household_1_CA_2.l10 -0.0024844 0.0225519 -0.110 0.912292
## Household_2_CA_2.l10 -0.0025780 0.0280871 -0.092 0.926877
## Household_1_CA_3.l10 0.0142008 0.0144840 0.980 0.326992
## Household_2_CA_3.l10 -0.0377917 0.0259927 -1.454 0.146132
## Household_1_CA_1.l11 -0.0373935 0.0218226 -1.714 0.086782 .
## Household_2_CA_1.l11 -0.0160507 0.0370665 -0.433 0.665047
## Household_1_CA_2.l11 0.0185879 0.0226298 0.821 0.411528
## Household_2_CA_2.l11 -0.0032568 0.0281911 -0.116 0.908040
## Household_1_CA_3.l11 0.0149271 0.0144657 1.032 0.302254
## Household_2_CA_3.l11 0.0234294 0.0259174 0.904 0.366112
## Household_1_CA_1.l12 -0.0097149 0.0218410 -0.445 0.656517
## Household_2_CA_1.l12 -0.0267474 0.0370955 -0.721 0.470974
## Household_1_CA_2.l12 -0.0020067 0.0225724 -0.089 0.929170
## Household_2_CA_2.l12 0.0746736 0.0281181 2.656 0.007981 **
## Household_1_CA_3.l12 -0.0265951 0.0144667 -1.838 0.066167 .
## Household_2_CA_3.l12 -0.0148428 0.0259561 -0.572 0.567497
## Household_1_CA_1.l13 0.0181170 0.0217656 0.832 0.405309
## Household_2_CA_1.l13 -0.0315769 0.0369126 -0.855 0.392411
## Household_1_CA_2.l13 0.0065229 0.0225077 0.290 0.771995
## Household_2_CA_2.l13 0.0474905 0.0280088 1.696 0.090137 .
## Household_1_CA_3.l13 0.0151186 0.0144336 1.047 0.295025
## Household_2_CA_3.l13 0.0365228 0.0259284 1.409 0.159119
## Household_1_CA_1.l14 0.0422958 0.0214521 1.972 0.048798 *
## Household_2_CA_1.l14 0.0442263 0.0366104 1.208 0.227190
## Household_1_CA_2.l14 0.1077232 0.0221017 4.874 1.19e-06 ***
## Household_2_CA_2.l14 0.1271608 0.0276887 4.593 4.67e-06 ***
## Household_1_CA_3.l14 -0.0105816 0.0139668 -0.758 0.448768
## Household_2_CA_3.l14 0.0230378 0.0255602 0.901 0.367537
## const 1.4721595 4.3838906 0.336 0.737051
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 23.23 on 1870 degrees of freedom
## Multiple R-Squared: 0.7717, Adjusted R-squared: 0.7614
## F-statistic: 75.24 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_3:
## =================================================
## Household_1_CA_3 = Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Household_1_CA_1.l1 0.077044 0.043431 1.774 0.076234 .
## Household_2_CA_1.l1 0.179750 0.073984 2.430 0.015210 *
## Household_1_CA_2.l1 0.026260 0.043395 0.605 0.545155
## Household_2_CA_2.l1 -0.027160 0.055868 -0.486 0.626917
## Household_1_CA_3.l1 0.295884 0.028140 10.515 < 2e-16 ***
## Household_2_CA_3.l1 -0.135945 0.050919 -2.670 0.007655 **
## Household_1_CA_1.l2 0.051417 0.043848 1.173 0.241096
## Household_2_CA_1.l2 -0.096261 0.074912 -1.285 0.198959
## Household_1_CA_2.l2 -0.037301 0.044202 -0.844 0.398851
## Household_2_CA_2.l2 -0.060860 0.056315 -1.081 0.279966
## Household_1_CA_3.l2 0.053054 0.029010 1.829 0.067582 .
## Household_2_CA_3.l2 -0.011153 0.051767 -0.215 0.829442
## Household_1_CA_1.l3 -0.015036 0.043903 -0.342 0.732025
## Household_2_CA_1.l3 0.025699 0.075071 0.342 0.732139
## Household_1_CA_2.l3 -0.025153 0.044491 -0.565 0.571905
## Household_2_CA_2.l3 0.032748 0.056444 0.580 0.561864
## Household_1_CA_3.l3 0.028421 0.029102 0.977 0.328895
## Household_2_CA_3.l3 -0.024232 0.051953 -0.466 0.640972
## Household_1_CA_1.l4 -0.036290 0.043874 -0.827 0.408260
## Household_2_CA_1.l4 -0.149285 0.075033 -1.990 0.046782 *
## Household_1_CA_2.l4 0.036477 0.044516 0.819 0.412656
## Household_2_CA_2.l4 -0.127585 0.056538 -2.257 0.024145 *
## Household_1_CA_3.l4 0.045665 0.029082 1.570 0.116534
## Household_2_CA_3.l4 0.066838 0.052007 1.285 0.198892
## Household_1_CA_1.l5 -0.017847 0.043916 -0.406 0.684514
## Household_2_CA_1.l5 -0.049995 0.075206 -0.665 0.506281
## Household_1_CA_2.l5 -0.068836 0.044475 -1.548 0.121855
## Household_2_CA_2.l5 -0.042599 0.056664 -0.752 0.452275
## Household_1_CA_3.l5 0.053726 0.029117 1.845 0.065164 .
## Household_2_CA_3.l5 0.018463 0.052123 0.354 0.723216
## Household_1_CA_1.l6 0.089920 0.044099 2.039 0.041585 *
## Household_2_CA_1.l6 -0.057973 0.075124 -0.772 0.440388
## Household_1_CA_2.l6 -0.050699 0.044557 -1.138 0.255326
## Household_2_CA_2.l6 0.026521 0.056608 0.469 0.639480
## Household_1_CA_3.l6 0.063951 0.029152 2.194 0.028378 *
## Household_2_CA_3.l6 0.072058 0.052208 1.380 0.167690
## Household_1_CA_1.l7 0.069103 0.044295 1.560 0.118910
## Household_2_CA_1.l7 -0.109890 0.075442 -1.457 0.145390
## Household_1_CA_2.l7 0.203721 0.044626 4.565 5.32e-06 ***
## Household_2_CA_2.l7 0.083782 0.056393 1.486 0.137533
## Household_1_CA_3.l7 0.068263 0.029100 2.346 0.019089 *
## Household_2_CA_3.l7 0.001193 0.052744 0.023 0.981955
## Household_1_CA_1.l8 0.098768 0.044153 2.237 0.025407 *
## Household_2_CA_1.l8 0.041371 0.075477 0.548 0.583675
## Household_1_CA_2.l8 -0.031192 0.045493 -0.686 0.493022
## Household_2_CA_2.l8 0.026663 0.056258 0.474 0.635599
## Household_1_CA_3.l8 -0.034511 0.029123 -1.185 0.236169
## Household_2_CA_3.l8 -0.050370 0.052849 -0.953 0.340669
## Household_1_CA_1.l9 -0.040502 0.044166 -0.917 0.359248
## Household_2_CA_1.l9 0.070309 0.074953 0.938 0.348339
## Household_1_CA_2.l9 -0.057618 0.045466 -1.267 0.205216
## Household_2_CA_2.l9 -0.095799 0.056506 -1.695 0.090171 .
## Household_1_CA_3.l9 0.010774 0.029063 0.371 0.710891
## Household_2_CA_3.l9 0.050735 0.052427 0.968 0.333304
## Household_1_CA_1.l10 -0.032714 0.043994 -0.744 0.457215
## Household_2_CA_1.l10 0.066409 0.074808 0.888 0.374799
## Household_1_CA_2.l10 -0.012091 0.045360 -0.267 0.789846
## Household_2_CA_2.l10 0.143110 0.056494 2.533 0.011383 *
## Household_1_CA_3.l10 0.009581 0.029133 0.329 0.742276
## Household_2_CA_3.l10 -0.060129 0.052281 -1.150 0.250242
## Household_1_CA_1.l11 -0.036367 0.043893 -0.829 0.407472
## Household_2_CA_1.l11 -0.032918 0.074555 -0.442 0.658877
## Household_1_CA_2.l11 0.072618 0.045517 1.595 0.110789
## Household_2_CA_2.l11 -0.027334 0.056703 -0.482 0.629820
## Household_1_CA_3.l11 0.023834 0.029096 0.819 0.412812
## Household_2_CA_3.l11 0.022342 0.052130 0.429 0.668280
## Household_1_CA_1.l12 0.018307 0.043930 0.417 0.676932
## Household_2_CA_1.l12 -0.024359 0.074613 -0.326 0.744104
## Household_1_CA_2.l12 -0.074343 0.045402 -1.637 0.101704
## Household_2_CA_2.l12 0.131538 0.056556 2.326 0.020135 *
## Household_1_CA_3.l12 -0.009551 0.029098 -0.328 0.742779
## Household_2_CA_3.l12 0.015726 0.052207 0.301 0.763275
## Household_1_CA_1.l13 0.003893 0.043779 0.089 0.929147
## Household_2_CA_1.l13 0.087843 0.074245 1.183 0.236900
## Household_1_CA_2.l13 -0.078474 0.045271 -1.733 0.083188 .
## Household_2_CA_2.l13 -0.044031 0.056336 -0.782 0.434566
## Household_1_CA_3.l13 0.060591 0.029031 2.087 0.037014 *
## Household_2_CA_3.l13 0.067795 0.052152 1.300 0.193776
## Household_1_CA_1.l14 0.156585 0.043148 3.629 0.000292 ***
## Household_2_CA_1.l14 0.009153 0.073637 0.124 0.901087
## Household_1_CA_2.l14 0.050362 0.044455 1.133 0.257410
## Household_2_CA_2.l14 -0.001161 0.055692 -0.021 0.983366
## Household_1_CA_3.l14 0.078409 0.028092 2.791 0.005306 **
## Household_2_CA_3.l14 -0.006015 0.051411 -0.117 0.906875
## const 19.752321 8.817629 2.240 0.025202 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 46.73 on 1870 degrees of freedom
## Multiple R-Squared: 0.7958, Adjusted R-squared: 0.7866
## F-statistic: 86.75 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_3:
## =================================================
## Household_2_CA_3 = Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Household_1_CA_1.l8 + Household_2_CA_1.l8 + Household_1_CA_2.l8 + Household_2_CA_2.l8 + Household_1_CA_3.l8 + Household_2_CA_3.l8 + Household_1_CA_1.l9 + Household_2_CA_1.l9 + Household_1_CA_2.l9 + Household_2_CA_2.l9 + Household_1_CA_3.l9 + Household_2_CA_3.l9 + Household_1_CA_1.l10 + Household_2_CA_1.l10 + Household_1_CA_2.l10 + Household_2_CA_2.l10 + Household_1_CA_3.l10 + Household_2_CA_3.l10 + Household_1_CA_1.l11 + Household_2_CA_1.l11 + Household_1_CA_2.l11 + Household_2_CA_2.l11 + Household_1_CA_3.l11 + Household_2_CA_3.l11 + Household_1_CA_1.l12 + Household_2_CA_1.l12 + Household_1_CA_2.l12 + Household_2_CA_2.l12 + Household_1_CA_3.l12 + Household_2_CA_3.l12 + Household_1_CA_1.l13 + Household_2_CA_1.l13 + Household_1_CA_2.l13 + Household_2_CA_2.l13 + Household_1_CA_3.l13 + Household_2_CA_3.l13 + Household_1_CA_1.l14 + Household_2_CA_1.l14 + Household_1_CA_2.l14 + Household_2_CA_2.l14 + Household_1_CA_3.l14 + Household_2_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Household_1_CA_1.l1 -0.0275869 0.0225705 -1.222 0.221766
## Household_2_CA_1.l1 0.1186660 0.0384487 3.086 0.002056 **
## Household_1_CA_2.l1 -0.0099162 0.0225520 -0.440 0.660203
## Household_2_CA_2.l1 0.0090745 0.0290341 0.313 0.754659
## Household_1_CA_3.l1 0.0454534 0.0146238 3.108 0.001911 **
## Household_2_CA_3.l1 0.1294085 0.0264622 4.890 1.09e-06 ***
## Household_1_CA_1.l2 0.0060784 0.0227873 0.267 0.789693
## Household_2_CA_1.l2 0.0053012 0.0389312 0.136 0.891703
## Household_1_CA_2.l2 -0.0391806 0.0229715 -1.706 0.088245 .
## Household_2_CA_2.l2 -0.0197134 0.0292664 -0.674 0.500659
## Household_1_CA_3.l2 -0.0150338 0.0150761 -0.997 0.318797
## Household_2_CA_3.l2 0.0824089 0.0269026 3.063 0.002221 **
## Household_1_CA_1.l3 -0.0220695 0.0228160 -0.967 0.333528
## Household_2_CA_1.l3 0.0375935 0.0390135 0.964 0.335369
## Household_1_CA_2.l3 -0.0283612 0.0231215 -1.227 0.220122
## Household_2_CA_2.l3 0.0308674 0.0293336 1.052 0.292803
## Household_1_CA_3.l3 0.0059275 0.0151241 0.392 0.695159
## Household_2_CA_3.l3 0.0554947 0.0269996 2.055 0.039980 *
## Household_1_CA_1.l4 0.0062922 0.0228009 0.276 0.782608
## Household_2_CA_1.l4 -0.0941525 0.0389940 -2.415 0.015851 *
## Household_1_CA_2.l4 0.0092347 0.0231346 0.399 0.689811
## Household_2_CA_2.l4 -0.0160606 0.0293821 -0.547 0.584710
## Household_1_CA_3.l4 -0.0316090 0.0151136 -2.091 0.036625 *
## Household_2_CA_3.l4 0.0658150 0.0270277 2.435 0.014981 *
## Household_1_CA_1.l5 -0.0048159 0.0228230 -0.211 0.832902
## Household_2_CA_1.l5 -0.0116222 0.0390839 -0.297 0.766221
## Household_1_CA_2.l5 -0.0307406 0.0231134 -1.330 0.183683
## Household_2_CA_2.l5 0.0251412 0.0294479 0.854 0.393352
## Household_1_CA_3.l5 0.0060697 0.0151316 0.401 0.688372
## Household_2_CA_3.l5 0.0521058 0.0270880 1.924 0.054559 .
## Household_1_CA_1.l6 -0.0252919 0.0229177 -1.104 0.269910
## Household_2_CA_1.l6 -0.0673054 0.0390410 -1.724 0.084879 .
## Household_1_CA_2.l6 -0.0018686 0.0231557 -0.081 0.935691
## Household_2_CA_2.l6 -0.0214093 0.0294186 -0.728 0.466859
## Household_1_CA_3.l6 0.0113438 0.0151500 0.749 0.454093
## Household_2_CA_3.l6 0.1652651 0.0271322 6.091 1.36e-09 ***
## Household_1_CA_1.l7 0.0196712 0.0230195 0.855 0.392913
## Household_2_CA_1.l7 0.0041094 0.0392066 0.105 0.916534
## Household_1_CA_2.l7 0.1036731 0.0231914 4.470 8.28e-06 ***
## Household_2_CA_2.l7 0.0264382 0.0293071 0.902 0.367115
## Household_1_CA_3.l7 -0.0154383 0.0151228 -1.021 0.307452
## Household_2_CA_3.l7 0.0363516 0.0274103 1.326 0.184934
## Household_1_CA_1.l8 -0.0002783 0.0229459 -0.012 0.990324
## Household_2_CA_1.l8 0.0542722 0.0392248 1.384 0.166640
## Household_1_CA_2.l8 0.0264510 0.0236423 1.119 0.263369
## Household_2_CA_2.l8 -0.0153088 0.0292365 -0.524 0.600604
## Household_1_CA_3.l8 -0.0233162 0.0151350 -1.541 0.123597
## Household_2_CA_3.l8 0.0247719 0.0274652 0.902 0.367206
## Household_1_CA_1.l9 0.0030318 0.0229529 0.132 0.894929
## Household_2_CA_1.l9 -0.0156015 0.0389521 -0.401 0.688812
## Household_1_CA_2.l9 -0.0397741 0.0236284 -1.683 0.092481 .
## Household_2_CA_2.l9 -0.0255509 0.0293657 -0.870 0.384361
## Household_1_CA_3.l9 0.0125206 0.0151035 0.829 0.407217
## Household_2_CA_3.l9 0.0264637 0.0272456 0.971 0.331524
## Household_1_CA_1.l10 0.0109148 0.0228633 0.477 0.633138
## Household_2_CA_1.l10 0.0417618 0.0388770 1.074 0.282870
## Household_1_CA_2.l10 -0.0380628 0.0235732 -1.615 0.106552
## Household_2_CA_2.l10 0.0203492 0.0293591 0.693 0.488324
## Household_1_CA_3.l10 0.0035567 0.0151399 0.235 0.814296
## Household_2_CA_3.l10 0.0076636 0.0271699 0.282 0.777928
## Household_1_CA_1.l11 0.0104485 0.0228109 0.458 0.646972
## Household_2_CA_1.l11 -0.0476641 0.0387453 -1.230 0.218780
## Household_1_CA_2.l11 0.0267951 0.0236547 1.133 0.257460
## Household_2_CA_2.l11 -0.0210643 0.0294678 -0.715 0.474808
## Household_1_CA_3.l11 -0.0020288 0.0151208 -0.134 0.893282
## Household_2_CA_3.l11 0.0020459 0.0270912 0.076 0.939810
## Household_1_CA_1.l12 -0.0018756 0.0228302 -0.082 0.934533
## Household_2_CA_1.l12 0.0049660 0.0387756 0.128 0.898107
## Household_1_CA_2.l12 -0.0014573 0.0235947 -0.062 0.950757
## Household_2_CA_2.l12 -0.0113275 0.0293915 -0.385 0.699984
## Household_1_CA_3.l12 -0.0064957 0.0151218 -0.430 0.667565
## Household_2_CA_3.l12 0.0444964 0.0271317 1.640 0.101170
## Household_1_CA_1.l13 0.0023918 0.0227514 0.105 0.916286
## Household_2_CA_1.l13 0.0027702 0.0385844 0.072 0.942771
## Household_1_CA_2.l13 -0.0012030 0.0235271 -0.051 0.959226
## Household_2_CA_2.l13 -0.0545921 0.0292774 -1.865 0.062387 .
## Household_1_CA_3.l13 0.0293157 0.0150873 1.943 0.052157 .
## Household_2_CA_3.l13 0.0376097 0.0271027 1.388 0.165402
## Household_1_CA_1.l14 0.0381260 0.0224236 1.700 0.089248 .
## Household_2_CA_1.l14 0.0755289 0.0382685 1.974 0.048568 *
## Household_1_CA_2.l14 0.0162350 0.0231027 0.703 0.482310
## Household_2_CA_2.l14 0.0452970 0.0289427 1.565 0.117739
## Household_1_CA_3.l14 -0.0093714 0.0145993 -0.642 0.521012
## Household_2_CA_3.l14 0.1041355 0.0267178 3.898 0.000101 ***
## const 16.2485917 4.5824360 3.546 0.000401 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 24.28 on 1870 degrees of freedom
## Multiple R-Squared: 0.6468, Adjusted R-squared: 0.631
## F-statistic: 40.77 on 84 and 1870 DF, p-value: < 2.2e-16
##
##
##
## Covariance matrix of residuals:
## Household_1_CA_1 Household_2_CA_1 Household_1_CA_2
## Household_1_CA_1 930.4 220.3 406.5
## Household_2_CA_1 220.3 290.9 189.3
## Household_1_CA_2 406.5 189.3 945.2
## Household_2_CA_2 254.8 143.2 357.7
## Household_1_CA_3 670.0 284.8 604.3
## Household_2_CA_3 260.2 144.7 250.6
## Household_2_CA_2 Household_1_CA_3 Household_2_CA_3
## Household_1_CA_1 254.8 670.0 260.2
## Household_2_CA_1 143.2 284.8 144.7
## Household_1_CA_2 357.7 604.3 250.6
## Household_2_CA_2 539.7 400.3 192.6
## Household_1_CA_3 400.3 2183.6 453.5
## Household_2_CA_3 192.6 453.5 589.7
##
## Correlation matrix of residuals:
## Household_1_CA_1 Household_2_CA_1 Household_1_CA_2
## Household_1_CA_1 1.0000 0.4235 0.4334
## Household_2_CA_1 0.4235 1.0000 0.3610
## Household_1_CA_2 0.4334 0.3610 1.0000
## Household_2_CA_2 0.3595 0.3613 0.5008
## Household_1_CA_3 0.4700 0.3574 0.4206
## Household_2_CA_3 0.3513 0.3495 0.3357
## Household_2_CA_2 Household_1_CA_3 Household_2_CA_3
## Household_1_CA_1 0.3595 0.4700 0.3513
## Household_2_CA_1 0.3613 0.3574 0.3495
## Household_1_CA_2 0.5008 0.4206 0.3357
## Household_2_CA_2 1.0000 0.3687 0.3414
## Household_1_CA_3 0.3687 1.0000 0.3996
## Household_2_CA_3 0.3414 0.3996 1.0000Serial_household <- serial.test(Model_household, lags.pt = 5, type = "PT.asymptotic")## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs produced
## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs producedSerial_household##
## Portmanteau Test (asymptotic)
##
## data: Residuals of VAR object Model_household
## Chi-squared = 10.678, df = -324, p-value = NAArch_household <- arch.test(Model_household, lags.multi = 15, multivariate.only = TRUE)
Arch_household##
## ARCH (multivariate)
##
## data: Residuals of VAR object Model_household
## Chi-squared = 8622.2, df = 6615, p-value < 2.2e-16Norm_household <- normality.test(Model_household, multivariate.only = TRUE)
Norm_household## $JB
##
## JB-Test (multivariate)
##
## data: Residuals of VAR object Model_household
## Chi-squared = 2125.8, df = 12, p-value < 2.2e-16
##
##
## $Skewness
##
## Skewness only (multivariate)
##
## data: Residuals of VAR object Model_household
## Chi-squared = 35.087, df = 6, p-value = 4.145e-06
##
##
## $Kurtosis
##
## Kurtosis only (multivariate)
##
## data: Residuals of VAR object Model_household
## Chi-squared = 2090.7, df = 6, p-value < 2.2e-16Stability_household <- stability(Model_household, type = "OLS-CUSUM")
plot(Stability_household)
forecast <- predict(Model_household, n.ahead = 28, ci = 0.95)
result_household = forecast$fcst$Household_1_CA_1+forecast$fcst$Household_2_CA_1+forecast$fcst$Household_1_CA_2+forecast$fcst$Household_2_CA_2+forecast$fcst$Household_1_CA_3+forecast$fcst$Household_2_CA_3
print(result_household)## fcst lower upper CI
## [1,] 1442.589 1104.4044 1780.773 338.1843
## [2,] 1331.237 982.0939 1680.379 349.1426
## [3,] 1323.146 971.4247 1674.866 351.7209
## [4,] 1289.426 936.5203 1642.332 352.9059
## [5,] 1447.379 1092.9870 1801.771 354.3921
## [6,] 1869.431 1512.9157 2225.946 356.5150
## [7,] 1959.595 1599.6881 2319.502 359.9067
## [8,] 1515.070 1141.4471 1888.694 373.6233
## [9,] 1308.829 930.9025 1686.755 377.9264
## [10,] 1308.825 929.5696 1688.080 379.2551
## [11,] 1268.933 888.7123 1649.153 380.2204
## [12,] 1418.963 1037.9379 1799.989 381.0253
## [13,] 1823.538 1441.4103 2205.666 382.1279
## [14,] 1847.375 1461.6689 2233.081 385.7063
## [15,] 1503.556 1094.9125 1912.200 408.6438
## [16,] 1313.154 898.9522 1727.356 414.2021
## [17,] 1303.638 887.9722 1719.303 415.6655
## [18,] 1274.842 858.3664 1691.319 416.4761
## [19,] 1440.356 1023.0989 1857.614 417.2575
## [20,] 1828.050 1409.4218 2246.678 418.6279
## [21,] 1883.881 1462.6294 2305.133 421.2517
## [22,] 1524.977 1092.1618 1957.793 432.8155
## [23,] 1315.930 878.8566 1753.003 437.0731
## [24,] 1289.157 851.1638 1727.151 437.9936
## [25,] 1259.085 820.4515 1697.719 438.6339
## [26,] 1428.602 989.4134 1867.791 439.1886
## [27,] 1802.705 1362.5106 2242.899 440.1941
## [28,] 1846.333 1403.4611 2289.205 442.8718Analysis for the third type of products FOOD
We use similar codes as in 2.1 to build models for different types of products.
v_food <- cbind(Foods_1_CA_1, Foods_2_CA_1, Foods_3_CA_1, Foods_1_CA_2, Foods_2_CA_2, Foods_3_CA_2, Foods_1_CA_3, Foods_2_CA_3, Foods_3_CA_3)
colnames(v_food) <- cbind("Foods_1_CA_1","Foods_2_CA_1","Foods_3_CA_1", "Foods_1_CA_2", "Foods_2_CA_2", "Foods_3_CA_2","Foods_1_CA_3","Foods_2_CA_3", "Foods_3_CA_3")
lagselect <- VARselect(v_food, lag.max = 60, type = "const")
lagselect$selection## AIC(n) HQ(n) SC(n) FPE(n)
## 14 7 7 14Model_food <- VAR(v_food, p = 14, type = "const", season = NULL, exog = NULL)
summary(Model_food)##
## VAR Estimation Results:
## =========================
## Endogenous variables: Foods_1_CA_1, Foods_2_CA_1, Foods_3_CA_1, Foods_1_CA_2, Foods_2_CA_2, Foods_3_CA_2, Foods_1_CA_3, Foods_2_CA_3, Foods_3_CA_3
## Deterministic variables: const
## Sample size: 1955
## Log Likelihood: -92564.421
## Roots of the characteristic polynomial:
## 1 0.9957 0.9957 0.9935 0.9852 0.9793 0.9793 0.9791 0.9791 0.9668 0.9621 0.9537 0.9537 0.9249 0.9249 0.924 0.924 0.9164 0.9164 0.9103 0.9103 0.9052 0.9052 0.9048 0.8979 0.8979 0.8959 0.8959 0.8801 0.8801 0.8796 0.8796 0.8795 0.8795 0.877 0.877 0.8739 0.8739 0.8725 0.8725 0.8705 0.8705 0.8698 0.8698 0.866 0.866 0.8646 0.8646 0.8628 0.8628 0.8627 0.8627 0.8616 0.8616 0.8596 0.8596 0.8509 0.8509 0.8509 0.8509 0.8507 0.8507 0.8505 0.8505 0.8499 0.8499 0.8483 0.8483 0.8475 0.8475 0.8473 0.8473 0.8433 0.8433 0.8395 0.8395 0.8382 0.8382 0.8345 0.8345 0.8328 0.8328 0.8308 0.8308 0.8287 0.8287 0.8218 0.8218 0.8214 0.8214 0.8199 0.8199 0.8188 0.8188 0.8127 0.8127 0.8122 0.8122 0.8102 0.8102 0.8101 0.8101 0.8086 0.8086 0.7879 0.787 0.787 0.7855 0.7855 0.7844 0.7844 0.7831 0.7831 0.7659 0.7659 0.7452 0.7452 0.6996 0.6996 0.6325 0.6325 0.5376 0.5376 0.516 0.1692 0.1692
## Call:
## VAR(y = v_food, p = 14, type = "const", exogen = NULL)
##
##
## Estimation results for equation Foods_1_CA_1:
## =============================================
## Foods_1_CA_1 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 2.987e-01 2.815e-02 10.613 < 2e-16 ***
## Foods_2_CA_1.l1 -1.007e-02 1.702e-02 -0.592 0.55403
## Foods_3_CA_1.l1 -4.060e-03 5.688e-03 -0.714 0.47542
## Foods_1_CA_2.l1 5.174e-02 3.713e-02 1.393 0.16365
## Foods_2_CA_2.l1 3.986e-02 2.726e-02 1.462 0.14392
## Foods_3_CA_2.l1 -1.377e-02 7.215e-03 -1.909 0.05648 .
## Foods_1_CA_3.l1 1.480e-01 2.304e-02 6.424 1.69e-10 ***
## Foods_2_CA_3.l1 -2.549e-02 1.130e-02 -2.256 0.02417 *
## Foods_3_CA_3.l1 6.473e-03 4.293e-03 1.508 0.13178
## Foods_1_CA_1.l2 2.072e-02 2.930e-02 0.707 0.47954
## Foods_2_CA_1.l2 -1.449e-02 1.770e-02 -0.818 0.41319
## Foods_3_CA_1.l2 -3.366e-03 5.923e-03 -0.568 0.56995
## Foods_1_CA_2.l2 1.672e-02 3.835e-02 0.436 0.66293
## Foods_2_CA_2.l2 -2.069e-02 2.799e-02 -0.739 0.45978
## Foods_3_CA_2.l2 -9.007e-03 7.431e-03 -1.212 0.22565
## Foods_1_CA_3.l2 6.309e-02 2.384e-02 2.646 0.00821 **
## Foods_2_CA_3.l2 2.353e-02 1.203e-02 1.955 0.05069 .
## Foods_3_CA_3.l2 -2.823e-03 4.499e-03 -0.627 0.53048
## Foods_1_CA_1.l3 6.216e-02 2.933e-02 2.120 0.03418 *
## Foods_2_CA_1.l3 9.891e-03 1.776e-02 0.557 0.57760
## Foods_3_CA_1.l3 -5.173e-03 5.931e-03 -0.872 0.38319
## Foods_1_CA_2.l3 7.304e-03 3.832e-02 0.191 0.84885
## Foods_2_CA_2.l3 -5.825e-03 2.813e-02 -0.207 0.83595
## Foods_3_CA_2.l3 -6.541e-03 7.489e-03 -0.873 0.38255
## Foods_1_CA_3.l3 -4.664e-03 2.380e-02 -0.196 0.84468
## Foods_2_CA_3.l3 -4.216e-03 1.213e-02 -0.348 0.72825
## Foods_3_CA_3.l3 6.591e-03 4.513e-03 1.461 0.14429
## Foods_1_CA_1.l4 2.255e-02 2.933e-02 0.769 0.44220
## Foods_2_CA_1.l4 -3.139e-02 1.777e-02 -1.766 0.07757 .
## Foods_3_CA_1.l4 4.374e-03 5.923e-03 0.738 0.46035
## Foods_1_CA_2.l4 5.520e-02 3.829e-02 1.441 0.14964
## Foods_2_CA_2.l4 -3.223e-02 2.803e-02 -1.150 0.25043
## Foods_3_CA_2.l4 9.174e-04 7.508e-03 0.122 0.90276
## Foods_1_CA_3.l4 -4.930e-02 2.374e-02 -2.077 0.03794 *
## Foods_2_CA_3.l4 1.758e-02 1.212e-02 1.450 0.14716
## Foods_3_CA_3.l4 -8.206e-04 4.512e-03 -0.182 0.85569
## Foods_1_CA_1.l5 4.469e-02 2.942e-02 1.519 0.12889
## Foods_2_CA_1.l5 3.039e-02 1.782e-02 1.705 0.08829 .
## Foods_3_CA_1.l5 -1.286e-02 5.930e-03 -2.169 0.03019 *
## Foods_1_CA_2.l5 6.223e-02 3.860e-02 1.612 0.10707
## Foods_2_CA_2.l5 -2.288e-02 2.806e-02 -0.815 0.41492
## Foods_3_CA_2.l5 -1.198e-02 7.529e-03 -1.591 0.11182
## Foods_1_CA_3.l5 7.846e-03 2.374e-02 0.331 0.74104
## Foods_2_CA_3.l5 -1.146e-02 1.215e-02 -0.944 0.34547
## Foods_3_CA_3.l5 9.159e-03 4.524e-03 2.025 0.04305 *
## Foods_1_CA_1.l6 6.111e-02 2.935e-02 2.082 0.03746 *
## Foods_2_CA_1.l6 -2.354e-02 1.784e-02 -1.319 0.18722
## Foods_3_CA_1.l6 8.929e-03 5.952e-03 1.500 0.13374
## Foods_1_CA_2.l6 -2.074e-02 3.853e-02 -0.538 0.59038
## Foods_2_CA_2.l6 1.716e-02 2.794e-02 0.614 0.53911
## Foods_3_CA_2.l6 -3.599e-03 7.533e-03 -0.478 0.63288
## Foods_1_CA_3.l6 1.177e-02 2.380e-02 0.495 0.62080
## Foods_2_CA_3.l6 1.167e-02 1.218e-02 0.958 0.33808
## Foods_3_CA_3.l6 -6.484e-03 4.534e-03 -1.430 0.15285
## Foods_1_CA_1.l7 -1.518e-02 2.925e-02 -0.519 0.60376
## Foods_2_CA_1.l7 -1.194e-02 1.788e-02 -0.668 0.50439
## Foods_3_CA_1.l7 1.467e-02 5.973e-03 2.456 0.01415 *
## Foods_1_CA_2.l7 4.570e-02 3.881e-02 1.178 0.23915
## Foods_2_CA_2.l7 6.359e-03 2.800e-02 0.227 0.82036
## Foods_3_CA_2.l7 1.854e-02 7.524e-03 2.465 0.01381 *
## Foods_1_CA_3.l7 -4.301e-02 2.371e-02 -1.814 0.06988 .
## Foods_2_CA_3.l7 1.601e-02 1.220e-02 1.313 0.18939
## Foods_3_CA_3.l7 -5.093e-03 4.551e-03 -1.119 0.26331
## Foods_1_CA_1.l8 6.103e-02 2.938e-02 2.077 0.03792 *
## Foods_2_CA_1.l8 9.541e-03 1.786e-02 0.534 0.59325
## Foods_3_CA_1.l8 7.880e-04 6.010e-03 0.131 0.89570
## Foods_1_CA_2.l8 -2.561e-02 3.867e-02 -0.662 0.50789
## Foods_2_CA_2.l8 1.165e-02 2.795e-02 0.417 0.67690
## Foods_3_CA_2.l8 8.625e-03 7.586e-03 1.137 0.25566
## Foods_1_CA_3.l8 -2.182e-03 2.368e-02 -0.092 0.92659
## Foods_2_CA_3.l8 -2.283e-03 1.218e-02 -0.187 0.85135
## Foods_3_CA_3.l8 -5.268e-03 4.548e-03 -1.158 0.24683
## Foods_1_CA_1.l9 -2.859e-02 2.946e-02 -0.971 0.33188
## Foods_2_CA_1.l9 3.393e-02 1.785e-02 1.901 0.05751 .
## Foods_3_CA_1.l9 -5.697e-03 5.999e-03 -0.950 0.34247
## Foods_1_CA_2.l9 2.938e-02 3.854e-02 0.762 0.44601
## Foods_2_CA_2.l9 -4.143e-02 2.786e-02 -1.487 0.13717
## Foods_3_CA_2.l9 -4.034e-03 7.555e-03 -0.534 0.59339
## Foods_1_CA_3.l9 -3.515e-02 2.365e-02 -1.487 0.13727
## Foods_2_CA_3.l9 1.255e-02 1.219e-02 1.029 0.30339
## Foods_3_CA_3.l9 -6.177e-03 4.525e-03 -1.365 0.17238
## Foods_1_CA_1.l10 -3.760e-02 2.948e-02 -1.275 0.20232
## Foods_2_CA_1.l10 3.233e-03 1.785e-02 0.181 0.85632
## Foods_3_CA_1.l10 -1.919e-04 6.000e-03 -0.032 0.97449
## Foods_1_CA_2.l10 1.255e-02 3.856e-02 0.325 0.74491
## Foods_2_CA_2.l10 -1.894e-02 2.790e-02 -0.679 0.49726
## Foods_3_CA_2.l10 7.316e-03 7.522e-03 0.973 0.33089
## Foods_1_CA_3.l10 -3.402e-02 2.353e-02 -1.446 0.14846
## Foods_2_CA_3.l10 -1.315e-02 1.218e-02 -1.079 0.28051
## Foods_3_CA_3.l10 3.279e-03 4.514e-03 0.726 0.46766
## Foods_1_CA_1.l11 -2.307e-02 2.941e-02 -0.784 0.43297
## Foods_2_CA_1.l11 2.330e-02 1.783e-02 1.307 0.19125
## Foods_3_CA_1.l11 -8.203e-03 5.980e-03 -1.372 0.17034
## Foods_1_CA_2.l11 -2.019e-02 3.862e-02 -0.523 0.60117
## Foods_2_CA_2.l11 -2.123e-02 2.791e-02 -0.760 0.44708
## Foods_3_CA_2.l11 2.519e-03 7.527e-03 0.335 0.73790
## Foods_1_CA_3.l11 -6.344e-02 2.351e-02 -2.698 0.00703 **
## Foods_2_CA_3.l11 7.665e-03 1.216e-02 0.631 0.52841
## Foods_3_CA_3.l11 2.235e-03 4.502e-03 0.497 0.61958
## Foods_1_CA_1.l12 5.821e-02 2.935e-02 1.984 0.04746 *
## Foods_2_CA_1.l12 5.085e-03 1.790e-02 0.284 0.77638
## Foods_3_CA_1.l12 5.318e-06 5.997e-03 0.001 0.99929
## Foods_1_CA_2.l12 -2.181e-02 3.871e-02 -0.563 0.57326
## Foods_2_CA_2.l12 4.730e-02 2.791e-02 1.695 0.09028 .
## Foods_3_CA_2.l12 -1.138e-02 7.524e-03 -1.513 0.13053
## Foods_1_CA_3.l12 -5.461e-03 2.354e-02 -0.232 0.81658
## Foods_2_CA_3.l12 -7.293e-03 1.212e-02 -0.602 0.54738
## Foods_3_CA_3.l12 -5.446e-03 4.490e-03 -1.213 0.22530
## Foods_1_CA_1.l13 7.069e-02 2.929e-02 2.413 0.01592 *
## Foods_2_CA_1.l13 -1.636e-02 1.778e-02 -0.920 0.35758
## Foods_3_CA_1.l13 -1.053e-04 5.989e-03 -0.018 0.98597
## Foods_1_CA_2.l13 7.384e-04 3.853e-02 0.019 0.98471
## Foods_2_CA_2.l13 2.629e-03 2.788e-02 0.094 0.92487
## Foods_3_CA_2.l13 -6.258e-03 7.546e-03 -0.829 0.40700
## Foods_1_CA_3.l13 -1.576e-02 2.343e-02 -0.673 0.50135
## Foods_2_CA_3.l13 -5.632e-03 1.205e-02 -0.467 0.64023
## Foods_3_CA_3.l13 6.820e-03 4.465e-03 1.527 0.12685
## Foods_1_CA_1.l14 4.891e-02 2.824e-02 1.732 0.08347 .
## Foods_2_CA_1.l14 -1.494e-03 1.698e-02 -0.088 0.92991
## Foods_3_CA_1.l14 1.112e-02 5.762e-03 1.931 0.05370 .
## Foods_1_CA_2.l14 -2.356e-02 3.731e-02 -0.632 0.52775
## Foods_2_CA_2.l14 -5.287e-03 2.727e-02 -0.194 0.84631
## Foods_3_CA_2.l14 1.449e-02 7.240e-03 2.001 0.04553 *
## Foods_1_CA_3.l14 -7.832e-03 2.232e-02 -0.351 0.72577
## Foods_2_CA_3.l14 -3.859e-03 1.122e-02 -0.344 0.73081
## Foods_3_CA_3.l14 -5.043e-03 4.208e-03 -1.198 0.23090
## const 6.536e+01 8.363e+00 7.816 9.14e-15 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 25.01 on 1828 degrees of freedom
## Multiple R-Squared: 0.6302, Adjusted R-squared: 0.6047
## F-statistic: 24.73 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_1:
## =============================================
## Foods_2_CA_1 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 0.1653504 0.0622822 2.655 0.008003 **
## Foods_2_CA_1.l1 0.3457952 0.0376546 9.183 < 2e-16 ***
## Foods_3_CA_1.l1 0.0078644 0.0125858 0.625 0.532142
## Foods_1_CA_2.l1 -0.1336464 0.0821708 -1.626 0.104027
## Foods_2_CA_2.l1 0.1658210 0.0603330 2.748 0.006047 **
## Foods_3_CA_2.l1 -0.0337205 0.0159662 -2.112 0.034823 *
## Foods_1_CA_3.l1 0.0078235 0.0509753 0.153 0.878040
## Foods_2_CA_3.l1 0.1042699 0.0249976 4.171 3.17e-05 ***
## Foods_3_CA_3.l1 -0.0237261 0.0094991 -2.498 0.012586 *
## Foods_1_CA_1.l2 -0.0290963 0.0648403 -0.449 0.653674
## Foods_2_CA_1.l2 0.1567830 0.0391739 4.002 6.53e-05 ***
## Foods_3_CA_1.l2 -0.0428816 0.0131075 -3.272 0.001090 **
## Foods_1_CA_2.l2 -0.0110099 0.0848663 -0.130 0.896793
## Foods_2_CA_2.l2 -0.0243232 0.0619369 -0.393 0.694580
## Foods_3_CA_2.l2 0.0068022 0.0164448 0.414 0.679189
## Foods_1_CA_3.l2 -0.0083830 0.0527625 -0.159 0.873779
## Foods_2_CA_3.l2 -0.0663756 0.0266254 -2.493 0.012757 *
## Foods_3_CA_3.l2 0.0220892 0.0099556 2.219 0.026624 *
## Foods_1_CA_1.l3 0.0155804 0.0648975 0.240 0.810297
## Foods_2_CA_1.l3 0.0781757 0.0392941 1.990 0.046795 *
## Foods_3_CA_1.l3 -0.0145672 0.0131249 -1.110 0.267192
## Foods_1_CA_2.l3 -0.0525750 0.0847939 -0.620 0.535313
## Foods_2_CA_2.l3 0.0291239 0.0622409 0.468 0.639897
## Foods_3_CA_2.l3 0.0194452 0.0165723 1.173 0.240806
## Foods_1_CA_3.l3 0.0063787 0.0526765 0.121 0.903632
## Foods_2_CA_3.l3 -0.0007492 0.0268437 -0.028 0.977736
## Foods_3_CA_3.l3 -0.0020902 0.0099860 -0.209 0.834229
## Foods_1_CA_1.l4 -0.0640152 0.0649045 -0.986 0.324117
## Foods_2_CA_1.l4 0.0441212 0.0393323 1.122 0.262114
## Foods_3_CA_1.l4 -0.0059408 0.0131077 -0.453 0.650436
## Foods_1_CA_2.l4 0.0078988 0.0847385 0.093 0.925744
## Foods_2_CA_2.l4 -0.1339236 0.0620297 -2.159 0.030978 *
## Foods_3_CA_2.l4 0.0185162 0.0166135 1.115 0.265200
## Foods_1_CA_3.l4 0.1115816 0.0525262 2.124 0.033779 *
## Foods_2_CA_3.l4 0.0021719 0.0268248 0.081 0.935479
## Foods_3_CA_3.l4 0.0088788 0.0099836 0.889 0.373939
## Foods_1_CA_1.l5 0.0822639 0.0650984 1.264 0.206504
## Foods_2_CA_1.l5 0.0832023 0.0394299 2.110 0.034983 *
## Foods_3_CA_1.l5 -0.0173337 0.0131219 -1.321 0.186673
## Foods_1_CA_2.l5 0.0778978 0.0854147 0.912 0.361891
## Foods_2_CA_2.l5 -0.0336794 0.0620819 -0.542 0.587541
## Foods_3_CA_2.l5 -0.0255583 0.0166612 -1.534 0.125202
## Foods_1_CA_3.l5 -0.0553926 0.0525301 -1.054 0.291797
## Foods_2_CA_3.l5 0.0426753 0.0268816 1.588 0.112566
## Foods_3_CA_3.l5 0.0060449 0.0100106 0.604 0.546018
## Foods_1_CA_1.l6 0.0474002 0.0649392 0.730 0.465535
## Foods_2_CA_1.l6 0.0421261 0.0394772 1.067 0.286068
## Foods_3_CA_1.l6 -0.0072853 0.0131708 -0.553 0.580235
## Foods_1_CA_2.l6 -0.0852314 0.0852520 -1.000 0.317560
## Foods_2_CA_2.l6 0.0174395 0.0618223 0.282 0.777906
## Foods_3_CA_2.l6 0.0086770 0.0166697 0.521 0.602758
## Foods_1_CA_3.l6 -0.0296708 0.0526579 -0.563 0.573188
## Foods_2_CA_3.l6 -0.0235296 0.0269501 -0.873 0.382734
## Foods_3_CA_3.l6 0.0018873 0.0100333 0.188 0.850819
## Foods_1_CA_1.l7 -0.1140889 0.0647315 -1.762 0.078153 .
## Foods_2_CA_1.l7 0.0897617 0.0395693 2.268 0.023417 *
## Foods_3_CA_1.l7 0.0571676 0.0132164 4.326 1.60e-05 ***
## Foods_1_CA_2.l7 -0.0205619 0.0858883 -0.239 0.810820
## Foods_2_CA_2.l7 -0.0171365 0.0619533 -0.277 0.782116
## Foods_3_CA_2.l7 0.0503213 0.0166488 3.023 0.002542 **
## Foods_1_CA_3.l7 -0.0633945 0.0524718 -1.208 0.227141
## Foods_2_CA_3.l7 0.0103681 0.0269914 0.384 0.700930
## Foods_3_CA_3.l7 -0.0187556 0.0100714 -1.862 0.062727 .
## Foods_1_CA_1.l8 0.0240501 0.0650164 0.370 0.711494
## Foods_2_CA_1.l8 -0.0431467 0.0395199 -1.092 0.275077
## Foods_3_CA_1.l8 0.0055205 0.0132986 0.415 0.678102
## Foods_1_CA_2.l8 0.1005418 0.0855789 1.175 0.240211
## Foods_2_CA_2.l8 -0.0539300 0.0618502 -0.872 0.383352
## Foods_3_CA_2.l8 -0.0087629 0.0167857 -0.522 0.601701
## Foods_1_CA_3.l8 -0.0662594 0.0523923 -1.265 0.206148
## Foods_2_CA_3.l8 0.0621678 0.0269548 2.306 0.021201 *
## Foods_3_CA_3.l8 -0.0135602 0.0100638 -1.347 0.178011
## Foods_1_CA_1.l9 0.0172339 0.0651921 0.264 0.791536
## Foods_2_CA_1.l9 0.0113020 0.0395005 0.286 0.774817
## Foods_3_CA_1.l9 0.0008950 0.0132753 0.067 0.946254
## Foods_1_CA_2.l9 0.1291888 0.0852854 1.515 0.130001
## Foods_2_CA_2.l9 0.0082441 0.0616513 0.134 0.893637
## Foods_3_CA_2.l9 -0.0432354 0.0167171 -2.586 0.009778 **
## Foods_1_CA_3.l9 -0.0369240 0.0523257 -0.706 0.480491
## Foods_2_CA_3.l9 0.0036228 0.0269673 0.134 0.893148
## Foods_3_CA_3.l9 -0.0048263 0.0100135 -0.482 0.629874
## Foods_1_CA_1.l10 -0.0696086 0.0652323 -1.067 0.286073
## Foods_2_CA_1.l10 -0.0359973 0.0395102 -0.911 0.362368
## Foods_3_CA_1.l10 -0.0069172 0.0132762 -0.521 0.602418
## Foods_1_CA_2.l10 -0.0113747 0.0853375 -0.133 0.893978
## Foods_2_CA_2.l10 0.1041106 0.0617417 1.686 0.091922 .
## Foods_3_CA_2.l10 0.0028271 0.0166461 0.170 0.865158
## Foods_1_CA_3.l10 -0.0494807 0.0520702 -0.950 0.342101
## Foods_2_CA_3.l10 -0.0333405 0.0269580 -1.237 0.216336
## Foods_3_CA_3.l10 0.0124863 0.0099881 1.250 0.211415
## Foods_1_CA_1.l11 0.0419737 0.0650787 0.645 0.519029
## Foods_2_CA_1.l11 0.0384152 0.0394444 0.974 0.330232
## Foods_3_CA_1.l11 -0.0114501 0.0132335 -0.865 0.387021
## Foods_1_CA_2.l11 0.1048430 0.0854615 1.227 0.220061
## Foods_2_CA_2.l11 0.0167756 0.0617659 0.272 0.785961
## Foods_3_CA_2.l11 -0.0216567 0.0166567 -1.300 0.193704
## Foods_1_CA_3.l11 0.0064872 0.0520263 0.125 0.900782
## Foods_2_CA_3.l11 0.0133594 0.0269004 0.497 0.619513
## Foods_3_CA_3.l11 -0.0022707 0.0099612 -0.228 0.819703
## Foods_1_CA_1.l12 -0.0005450 0.0649368 -0.008 0.993304
## Foods_2_CA_1.l12 -0.0838076 0.0396070 -2.116 0.034482 *
## Foods_3_CA_1.l12 0.0129115 0.0132704 0.973 0.330703
## Foods_1_CA_2.l12 0.0335622 0.0856674 0.392 0.695272
## Foods_2_CA_2.l12 -0.0136480 0.0617611 -0.221 0.825132
## Foods_3_CA_2.l12 -0.0043605 0.0166499 -0.262 0.793432
## Foods_1_CA_3.l12 -0.0166807 0.0520902 -0.320 0.748832
## Foods_2_CA_3.l12 -0.0307929 0.0268182 -1.148 0.251032
## Foods_3_CA_3.l12 0.0035827 0.0099348 0.361 0.718427
## Foods_1_CA_1.l13 0.0128269 0.0648251 0.198 0.843170
## Foods_2_CA_1.l13 0.0260243 0.0393459 0.661 0.508425
## Foods_3_CA_1.l13 0.0017450 0.0132528 0.132 0.895258
## Foods_1_CA_2.l13 -0.0734677 0.0852700 -0.862 0.389027
## Foods_2_CA_2.l13 -0.0715058 0.0616913 -1.159 0.246571
## Foods_3_CA_2.l13 0.0101714 0.0166973 0.609 0.542490
## Foods_1_CA_3.l13 -0.0112362 0.0518446 -0.217 0.828444
## Foods_2_CA_3.l13 -0.0323600 0.0266616 -1.214 0.225008
## Foods_3_CA_3.l13 0.0226365 0.0098812 2.291 0.022085 *
## Foods_1_CA_1.l14 0.0781581 0.0624911 1.251 0.211201
## Foods_2_CA_1.l14 0.1318361 0.0375811 3.508 0.000462 ***
## Foods_3_CA_1.l14 -0.0047577 0.0127496 -0.373 0.709068
## Foods_1_CA_2.l14 -0.0277266 0.0825557 -0.336 0.737020
## Foods_2_CA_2.l14 -0.1383777 0.0603444 -2.293 0.021954 *
## Foods_3_CA_2.l14 0.0476471 0.0160201 2.974 0.002976 **
## Foods_1_CA_3.l14 -0.0445527 0.0493999 -0.902 0.367240
## Foods_2_CA_3.l14 -0.0060896 0.0248174 -0.245 0.806192
## Foods_3_CA_3.l14 -0.0051437 0.0093122 -0.552 0.580769
## const 51.6317771 18.5050142 2.790 0.005323 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 55.33 on 1828 degrees of freedom
## Multiple R-Squared: 0.7243, Adjusted R-squared: 0.7053
## F-statistic: 38.12 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_1:
## =============================================
## Foods_3_CA_1 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 0.494557 0.229929 2.151 0.031613 *
## Foods_2_CA_1.l1 0.208413 0.139010 1.499 0.133978
## Foods_3_CA_1.l1 0.293833 0.046463 6.324 3.20e-10 ***
## Foods_1_CA_2.l1 -0.583296 0.303352 -1.923 0.054656 .
## Foods_2_CA_2.l1 0.177723 0.222733 0.798 0.425022
## Foods_3_CA_2.l1 -0.010366 0.058943 -0.176 0.860425
## Foods_1_CA_3.l1 0.274147 0.188187 1.457 0.145349
## Foods_2_CA_3.l1 -0.045025 0.092284 -0.488 0.625684
## Foods_3_CA_3.l1 0.019011 0.035068 0.542 0.587797
## Foods_1_CA_1.l2 -0.277712 0.239372 -1.160 0.246132
## Foods_2_CA_1.l2 0.131664 0.144619 0.910 0.362719
## Foods_3_CA_1.l2 -0.037202 0.048389 -0.769 0.442104
## Foods_1_CA_2.l2 0.092096 0.313303 0.294 0.768827
## Foods_2_CA_2.l2 0.015231 0.228654 0.067 0.946898
## Foods_3_CA_2.l2 -0.085352 0.060710 -1.406 0.159923
## Foods_1_CA_3.l2 0.029748 0.194784 0.153 0.878632
## Foods_2_CA_3.l2 -0.103293 0.098294 -1.051 0.293459
## Foods_3_CA_3.l2 0.078108 0.036753 2.125 0.033703 *
## Foods_1_CA_1.l3 -0.011939 0.239583 -0.050 0.960261
## Foods_2_CA_1.l3 0.205878 0.145063 1.419 0.156001
## Foods_3_CA_1.l3 -0.048102 0.048454 -0.993 0.320968
## Foods_1_CA_2.l3 0.186491 0.313035 0.596 0.551416
## Foods_2_CA_2.l3 0.057269 0.229776 0.249 0.803205
## Foods_3_CA_2.l3 0.006806 0.061180 0.111 0.911439
## Foods_1_CA_3.l3 0.285502 0.194467 1.468 0.142242
## Foods_2_CA_3.l3 -0.040393 0.099100 -0.408 0.683612
## Foods_3_CA_3.l3 0.008352 0.036866 0.227 0.820801
## Foods_1_CA_1.l4 -0.381747 0.239609 -1.593 0.111287
## Foods_2_CA_1.l4 -0.105830 0.145204 -0.729 0.466195
## Foods_3_CA_1.l4 0.056534 0.048390 1.168 0.242840
## Foods_1_CA_2.l4 -0.017697 0.312831 -0.057 0.954894
## Foods_2_CA_2.l4 -0.467347 0.228996 -2.041 0.041409 *
## Foods_3_CA_2.l4 0.051932 0.061332 0.847 0.397257
## Foods_1_CA_3.l4 -0.055694 0.193912 -0.287 0.773983
## Foods_2_CA_3.l4 0.017937 0.099030 0.181 0.856290
## Foods_3_CA_3.l4 0.052338 0.036857 1.420 0.155762
## Foods_1_CA_1.l5 0.315435 0.240325 1.313 0.189505
## Foods_2_CA_1.l5 0.300513 0.145564 2.064 0.039114 *
## Foods_3_CA_1.l5 -0.106026 0.048442 -2.189 0.028744 *
## Foods_1_CA_2.l5 0.535543 0.315327 1.698 0.089608 .
## Foods_2_CA_2.l5 -0.001670 0.229189 -0.007 0.994187
## Foods_3_CA_2.l5 -0.130836 0.061508 -2.127 0.033543 *
## Foods_1_CA_3.l5 -0.046580 0.193926 -0.240 0.810207
## Foods_2_CA_3.l5 0.036711 0.099239 0.370 0.711483
## Foods_3_CA_3.l5 0.057135 0.036956 1.546 0.122277
## Foods_1_CA_1.l6 0.303523 0.239737 1.266 0.205651
## Foods_2_CA_1.l6 -0.155710 0.145739 -1.068 0.285471
## Foods_3_CA_1.l6 0.069273 0.048623 1.425 0.154415
## Foods_1_CA_2.l6 -0.301166 0.314726 -0.957 0.338737
## Foods_2_CA_2.l6 -0.061957 0.228231 -0.271 0.786063
## Foods_3_CA_2.l6 -0.012879 0.061540 -0.209 0.834256
## Foods_1_CA_3.l6 0.177074 0.194398 0.911 0.362478
## Foods_2_CA_3.l6 -0.028635 0.099492 -0.288 0.773525
## Foods_3_CA_3.l6 -0.022602 0.037040 -0.610 0.541800
## Foods_1_CA_1.l7 -0.563923 0.238971 -2.360 0.018389 *
## Foods_2_CA_1.l7 0.009071 0.146079 0.062 0.950493
## Foods_3_CA_1.l7 0.301801 0.048791 6.186 7.62e-10 ***
## Foods_1_CA_2.l7 0.066847 0.317076 0.211 0.833048
## Foods_2_CA_2.l7 -0.091736 0.228714 -0.401 0.688396
## Foods_3_CA_2.l7 0.243993 0.061463 3.970 7.47e-05 ***
## Foods_1_CA_3.l7 -0.263973 0.193711 -1.363 0.173142
## Foods_2_CA_3.l7 0.016074 0.099645 0.161 0.871868
## Foods_3_CA_3.l7 -0.045160 0.037181 -1.215 0.224674
## Foods_1_CA_1.l8 0.153117 0.240022 0.638 0.523599
## Foods_2_CA_1.l8 -0.076756 0.145896 -0.526 0.598883
## Foods_3_CA_1.l8 0.011654 0.049095 0.237 0.812392
## Foods_1_CA_2.l8 0.099603 0.315933 0.315 0.752595
## Foods_2_CA_2.l8 -0.076511 0.228334 -0.335 0.737601
## Foods_3_CA_2.l8 0.001031 0.061968 0.017 0.986724
## Foods_1_CA_3.l8 -0.393777 0.193418 -2.036 0.041905 *
## Foods_2_CA_3.l8 0.308555 0.099509 3.101 0.001960 **
## Foods_3_CA_3.l8 -0.078651 0.037153 -2.117 0.034398 *
## Foods_1_CA_1.l9 -0.143848 0.240671 -0.598 0.550116
## Foods_2_CA_1.l9 0.088199 0.145825 0.605 0.545367
## Foods_3_CA_1.l9 0.003304 0.049009 0.067 0.946252
## Foods_1_CA_2.l9 0.530312 0.314850 1.684 0.092288 .
## Foods_2_CA_2.l9 -0.151185 0.227599 -0.664 0.506608
## Foods_3_CA_2.l9 -0.116650 0.061715 -1.890 0.058898 .
## Foods_1_CA_3.l9 -0.198649 0.193172 -1.028 0.303920
## Foods_2_CA_3.l9 -0.051966 0.099556 -0.522 0.601750
## Foods_3_CA_3.l9 -0.051908 0.036967 -1.404 0.160437
## Foods_1_CA_1.l10 -0.338409 0.240820 -1.405 0.160121
## Foods_2_CA_1.l10 -0.173697 0.145861 -1.191 0.233870
## Foods_3_CA_1.l10 -0.022171 0.049012 -0.452 0.651063
## Foods_1_CA_2.l10 0.147931 0.315042 0.470 0.638725
## Foods_2_CA_2.l10 0.110466 0.227933 0.485 0.627987
## Foods_3_CA_2.l10 0.042618 0.061453 0.694 0.488077
## Foods_1_CA_3.l10 -0.271101 0.192229 -1.410 0.158620
## Foods_2_CA_3.l10 -0.129467 0.099521 -1.301 0.193458
## Foods_3_CA_3.l10 0.079685 0.036873 2.161 0.030820 *
## Foods_1_CA_1.l11 0.166358 0.240252 0.692 0.488756
## Foods_2_CA_1.l11 0.120545 0.145618 0.828 0.407880
## Foods_3_CA_1.l11 -0.078169 0.048854 -1.600 0.109761
## Foods_1_CA_2.l11 0.358841 0.315500 1.137 0.255532
## Foods_2_CA_2.l11 0.123959 0.228022 0.544 0.586765
## Foods_3_CA_2.l11 -0.077637 0.061492 -1.263 0.206913
## Foods_1_CA_3.l11 -0.106713 0.192066 -0.556 0.578550
## Foods_2_CA_3.l11 0.057024 0.099309 0.574 0.565901
## Foods_3_CA_3.l11 -0.003142 0.036774 -0.085 0.931912
## Foods_1_CA_1.l12 0.091897 0.239729 0.383 0.701514
## Foods_2_CA_1.l12 -0.220060 0.146218 -1.505 0.132494
## Foods_3_CA_1.l12 0.099089 0.048991 2.023 0.043259 *
## Foods_1_CA_2.l12 -0.067666 0.316260 -0.214 0.830605
## Foods_2_CA_2.l12 0.152175 0.228005 0.667 0.504586
## Foods_3_CA_2.l12 -0.067732 0.061467 -1.102 0.270636
## Foods_1_CA_3.l12 -0.119129 0.192303 -0.619 0.535673
## Foods_2_CA_3.l12 0.017297 0.099005 0.175 0.861327
## Foods_3_CA_3.l12 -0.038438 0.036677 -1.048 0.294768
## Foods_1_CA_1.l13 0.162950 0.239316 0.681 0.496021
## Foods_2_CA_1.l13 -0.164003 0.145254 -1.129 0.259015
## Foods_3_CA_1.l13 0.051733 0.048925 1.057 0.290480
## Foods_1_CA_2.l13 -0.090558 0.314793 -0.288 0.773627
## Foods_2_CA_2.l13 0.049939 0.227747 0.219 0.826461
## Foods_3_CA_2.l13 -0.057179 0.061642 -0.928 0.353739
## Foods_1_CA_3.l13 0.116221 0.191396 0.607 0.543773
## Foods_2_CA_3.l13 -0.120503 0.098427 -1.224 0.221003
## Foods_3_CA_3.l13 0.093101 0.036479 2.552 0.010785 *
## Foods_1_CA_1.l14 -0.094290 0.230700 -0.409 0.682797
## Foods_2_CA_1.l14 0.133735 0.138739 0.964 0.335208
## Foods_3_CA_1.l14 0.179855 0.047068 3.821 0.000137 ***
## Foods_1_CA_2.l14 -0.259599 0.304773 -0.852 0.394449
## Foods_2_CA_2.l14 -0.495789 0.222775 -2.226 0.026168 *
## Foods_3_CA_2.l14 0.252119 0.059142 4.263 2.12e-05 ***
## Foods_1_CA_3.l14 -0.170124 0.182371 -0.933 0.351022
## Foods_2_CA_3.l14 0.059420 0.091619 0.649 0.516705
## Foods_3_CA_3.l14 -0.075419 0.034378 -2.194 0.028373 *
## const 302.801683 68.315343 4.432 9.87e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 204.3 on 1828 degrees of freedom
## Multiple R-Squared: 0.8013, Adjusted R-squared: 0.7877
## F-statistic: 58.52 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_2:
## =============================================
## Foods_1_CA_2 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 3.082e-02 1.954e-02 1.577 0.114936
## Foods_2_CA_1.l1 8.518e-03 1.181e-02 0.721 0.470986
## Foods_3_CA_1.l1 -1.244e-02 3.949e-03 -3.151 0.001654 **
## Foods_1_CA_2.l1 2.486e-01 2.578e-02 9.643 < 2e-16 ***
## Foods_2_CA_2.l1 2.007e-02 1.893e-02 1.060 0.289189
## Foods_3_CA_2.l1 1.852e-02 5.009e-03 3.698 0.000224 ***
## Foods_1_CA_3.l1 7.565e-03 1.599e-02 0.473 0.636284
## Foods_2_CA_3.l1 -9.030e-03 7.843e-03 -1.151 0.249717
## Foods_3_CA_3.l1 -1.937e-03 2.980e-03 -0.650 0.515901
## Foods_1_CA_1.l2 3.560e-02 2.034e-02 1.750 0.080278 .
## Foods_2_CA_1.l2 -1.604e-02 1.229e-02 -1.305 0.192079
## Foods_3_CA_1.l2 5.882e-03 4.112e-03 1.430 0.152806
## Foods_1_CA_2.l2 7.414e-02 2.663e-02 2.785 0.005415 **
## Foods_2_CA_2.l2 -2.407e-02 1.943e-02 -1.239 0.215635
## Foods_3_CA_2.l2 -8.917e-03 5.160e-03 -1.728 0.084096 .
## Foods_1_CA_3.l2 2.229e-02 1.655e-02 1.346 0.178370
## Foods_2_CA_3.l2 1.421e-02 8.354e-03 1.701 0.089136 .
## Foods_3_CA_3.l2 -1.200e-03 3.124e-03 -0.384 0.700810
## Foods_1_CA_1.l3 -2.498e-02 2.036e-02 -1.227 0.220072
## Foods_2_CA_1.l3 3.666e-03 1.233e-02 0.297 0.766203
## Foods_3_CA_1.l3 -1.588e-03 4.118e-03 -0.386 0.699742
## Foods_1_CA_2.l3 4.875e-02 2.660e-02 1.832 0.067078 .
## Foods_2_CA_2.l3 -6.213e-03 1.953e-02 -0.318 0.750419
## Foods_3_CA_2.l3 5.052e-04 5.200e-03 0.097 0.922616
## Foods_1_CA_3.l3 -2.882e-03 1.653e-02 -0.174 0.861596
## Foods_2_CA_3.l3 -1.019e-02 8.422e-03 -1.210 0.226273
## Foods_3_CA_3.l3 1.866e-03 3.133e-03 0.596 0.551478
## Foods_1_CA_1.l4 2.691e-02 2.036e-02 1.322 0.186439
## Foods_2_CA_1.l4 -8.456e-03 1.234e-02 -0.685 0.493268
## Foods_3_CA_1.l4 3.700e-03 4.113e-03 0.900 0.368449
## Foods_1_CA_2.l4 3.878e-02 2.659e-02 1.459 0.144845
## Foods_2_CA_2.l4 -3.756e-02 1.946e-02 -1.930 0.053792 .
## Foods_3_CA_2.l4 6.372e-03 5.213e-03 1.222 0.221680
## Foods_1_CA_3.l4 -1.281e-02 1.648e-02 -0.777 0.436972
## Foods_2_CA_3.l4 1.057e-02 8.416e-03 1.256 0.209287
## Foods_3_CA_3.l4 -3.796e-03 3.132e-03 -1.212 0.225763
## Foods_1_CA_1.l5 3.115e-02 2.042e-02 1.525 0.127361
## Foods_2_CA_1.l5 2.523e-02 1.237e-02 2.040 0.041532 *
## Foods_3_CA_1.l5 -5.755e-03 4.117e-03 -1.398 0.162297
## Foods_1_CA_2.l5 6.642e-02 2.680e-02 2.479 0.013280 *
## Foods_2_CA_2.l5 -1.192e-02 1.948e-02 -0.612 0.540749
## Foods_3_CA_2.l5 -6.538e-03 5.227e-03 -1.251 0.211218
## Foods_1_CA_3.l5 -1.881e-02 1.648e-02 -1.141 0.253997
## Foods_2_CA_3.l5 -7.094e-03 8.434e-03 -0.841 0.400394
## Foods_3_CA_3.l5 4.156e-03 3.141e-03 1.323 0.185933
## Foods_1_CA_1.l6 7.757e-03 2.037e-02 0.381 0.703442
## Foods_2_CA_1.l6 -3.855e-03 1.239e-02 -0.311 0.755630
## Foods_3_CA_1.l6 2.986e-03 4.132e-03 0.723 0.470048
## Foods_1_CA_2.l6 1.397e-01 2.675e-02 5.225 1.94e-07 ***
## Foods_2_CA_2.l6 2.121e-02 1.940e-02 1.093 0.274403
## Foods_3_CA_2.l6 -5.149e-03 5.230e-03 -0.985 0.324960
## Foods_1_CA_3.l6 -3.587e-03 1.652e-02 -0.217 0.828137
## Foods_2_CA_3.l6 -7.245e-03 8.456e-03 -0.857 0.391676
## Foods_3_CA_3.l6 3.920e-04 3.148e-03 0.125 0.900917
## Foods_1_CA_1.l7 -6.379e-02 2.031e-02 -3.141 0.001713 **
## Foods_2_CA_1.l7 -1.945e-02 1.241e-02 -1.566 0.117417
## Foods_3_CA_1.l7 8.956e-03 4.147e-03 2.160 0.030925 *
## Foods_1_CA_2.l7 2.259e-01 2.695e-02 8.382 < 2e-16 ***
## Foods_2_CA_2.l7 -3.982e-03 1.944e-02 -0.205 0.837720
## Foods_3_CA_2.l7 1.666e-02 5.224e-03 3.190 0.001446 **
## Foods_1_CA_3.l7 4.204e-03 1.646e-02 0.255 0.798456
## Foods_2_CA_3.l7 3.441e-03 8.469e-03 0.406 0.684577
## Foods_3_CA_3.l7 -4.963e-03 3.160e-03 -1.571 0.116424
## Foods_1_CA_1.l8 -4.501e-03 2.040e-02 -0.221 0.825386
## Foods_2_CA_1.l8 1.364e-02 1.240e-02 1.100 0.271471
## Foods_3_CA_1.l8 -7.463e-03 4.172e-03 -1.789 0.073820 .
## Foods_1_CA_2.l8 1.061e-02 2.685e-02 0.395 0.692802
## Foods_2_CA_2.l8 4.073e-02 1.941e-02 2.099 0.035968 *
## Foods_3_CA_2.l8 -2.632e-03 5.267e-03 -0.500 0.617271
## Foods_1_CA_3.l8 2.128e-02 1.644e-02 1.294 0.195717
## Foods_2_CA_3.l8 9.544e-03 8.457e-03 1.129 0.259248
## Foods_3_CA_3.l8 -2.974e-03 3.158e-03 -0.942 0.346359
## Foods_1_CA_1.l9 -2.211e-02 2.045e-02 -1.081 0.279857
## Foods_2_CA_1.l9 -1.043e-02 1.239e-02 -0.841 0.400351
## Foods_3_CA_1.l9 1.070e-02 4.165e-03 2.568 0.010296 *
## Foods_1_CA_2.l9 -6.278e-02 2.676e-02 -2.346 0.019079 *
## Foods_2_CA_2.l9 4.138e-03 1.934e-02 0.214 0.830636
## Foods_3_CA_2.l9 -3.184e-03 5.245e-03 -0.607 0.543950
## Foods_1_CA_3.l9 -3.455e-02 1.642e-02 -2.104 0.035485 *
## Foods_2_CA_3.l9 -2.217e-03 8.461e-03 -0.262 0.793345
## Foods_3_CA_3.l9 -1.296e-05 3.142e-03 -0.004 0.996708
## Foods_1_CA_1.l10 -1.421e-02 2.047e-02 -0.694 0.487545
## Foods_2_CA_1.l10 2.298e-02 1.240e-02 1.854 0.063886 .
## Foods_3_CA_1.l10 -4.952e-03 4.165e-03 -1.189 0.234668
## Foods_1_CA_2.l10 -1.383e-02 2.677e-02 -0.517 0.605516
## Foods_2_CA_2.l10 6.384e-03 1.937e-02 0.330 0.741786
## Foods_3_CA_2.l10 -7.514e-03 5.223e-03 -1.439 0.150413
## Foods_1_CA_3.l10 9.871e-03 1.634e-02 0.604 0.545787
## Foods_2_CA_3.l10 -5.447e-03 8.458e-03 -0.644 0.519628
## Foods_3_CA_3.l10 3.536e-03 3.134e-03 1.128 0.259288
## Foods_1_CA_1.l11 7.344e-03 2.042e-02 0.360 0.719146
## Foods_2_CA_1.l11 -1.670e-02 1.238e-02 -1.349 0.177377
## Foods_3_CA_1.l11 8.131e-03 4.152e-03 1.958 0.050356 .
## Foods_1_CA_2.l11 -1.225e-02 2.681e-02 -0.457 0.647931
## Foods_2_CA_2.l11 -1.348e-02 1.938e-02 -0.695 0.486837
## Foods_3_CA_2.l11 1.218e-05 5.226e-03 0.002 0.998140
## Foods_1_CA_3.l11 -1.757e-02 1.632e-02 -1.076 0.281918
## Foods_2_CA_3.l11 2.464e-03 8.440e-03 0.292 0.770396
## Foods_3_CA_3.l11 -5.137e-04 3.125e-03 -0.164 0.869459
## Foods_1_CA_1.l12 -2.222e-02 2.037e-02 -1.090 0.275637
## Foods_2_CA_1.l12 -1.618e-02 1.243e-02 -1.302 0.193053
## Foods_3_CA_1.l12 3.989e-03 4.164e-03 0.958 0.338102
## Foods_1_CA_2.l12 -1.388e-02 2.688e-02 -0.517 0.605554
## Foods_2_CA_2.l12 2.488e-02 1.938e-02 1.284 0.199303
## Foods_3_CA_2.l12 -1.698e-02 5.224e-03 -3.250 0.001176 **
## Foods_1_CA_3.l12 2.910e-03 1.634e-02 0.178 0.858714
## Foods_2_CA_3.l12 7.037e-03 8.414e-03 0.836 0.403086
## Foods_3_CA_3.l12 8.687e-04 3.117e-03 0.279 0.780521
## Foods_1_CA_1.l13 3.038e-02 2.034e-02 1.494 0.135437
## Foods_2_CA_1.l13 8.659e-03 1.234e-02 0.701 0.483142
## Foods_3_CA_1.l13 -2.915e-03 4.158e-03 -0.701 0.483407
## Foods_1_CA_2.l13 8.550e-02 2.675e-02 3.196 0.001418 **
## Foods_2_CA_2.l13 -1.802e-03 1.936e-02 -0.093 0.925855
## Foods_3_CA_2.l13 -8.091e-03 5.239e-03 -1.544 0.122657
## Foods_1_CA_3.l13 1.549e-03 1.627e-02 0.095 0.924122
## Foods_2_CA_3.l13 4.823e-04 8.365e-03 0.058 0.954031
## Foods_3_CA_3.l13 4.930e-05 3.100e-03 0.016 0.987314
## Foods_1_CA_1.l14 -4.783e-02 1.961e-02 -2.439 0.014802 *
## Foods_2_CA_1.l14 7.682e-03 1.179e-02 0.652 0.514788
## Foods_3_CA_1.l14 -2.046e-03 4.000e-03 -0.511 0.609077
## Foods_1_CA_2.l14 1.589e-01 2.590e-02 6.137 1.03e-09 ***
## Foods_2_CA_2.l14 -1.112e-02 1.893e-02 -0.587 0.557000
## Foods_3_CA_2.l14 1.706e-02 5.026e-03 3.393 0.000705 ***
## Foods_1_CA_3.l14 1.106e-02 1.550e-02 0.714 0.475402
## Foods_2_CA_3.l14 -7.169e-03 7.786e-03 -0.921 0.357361
## Foods_3_CA_3.l14 -1.485e-03 2.922e-03 -0.508 0.611224
## const 8.084e+00 5.806e+00 1.392 0.163975
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 17.36 on 1828 degrees of freedom
## Multiple R-Squared: 0.9087, Adjusted R-squared: 0.9024
## F-statistic: 144.4 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_2:
## =============================================
## Foods_2_CA_2 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 0.0419082 0.0351819 1.191 0.233736
## Foods_2_CA_1.l1 0.0596714 0.0212703 2.805 0.005079 **
## Foods_3_CA_1.l1 -0.0089846 0.0071095 -1.264 0.206479
## Foods_1_CA_2.l1 -0.0737529 0.0464166 -1.589 0.112248
## Foods_2_CA_2.l1 0.2946969 0.0340809 8.647 < 2e-16 ***
## Foods_3_CA_2.l1 0.0041833 0.0090190 0.464 0.642822
## Foods_1_CA_3.l1 -0.0426719 0.0287949 -1.482 0.138533
## Foods_2_CA_3.l1 0.0191880 0.0141206 1.359 0.174357
## Foods_3_CA_3.l1 -0.0068096 0.0053658 -1.269 0.204577
## Foods_1_CA_1.l2 -0.0289975 0.0366269 -0.792 0.428638
## Foods_2_CA_1.l2 -0.0202051 0.0221285 -0.913 0.361320
## Foods_3_CA_1.l2 -0.0008876 0.0074041 -0.120 0.904592
## Foods_1_CA_2.l2 -0.0171376 0.0479392 -0.357 0.720769
## Foods_2_CA_2.l2 0.0838410 0.0349869 2.396 0.016659 *
## Foods_3_CA_2.l2 -0.0248835 0.0092893 -2.679 0.007457 **
## Foods_1_CA_3.l2 0.0288388 0.0298044 0.968 0.333371
## Foods_2_CA_3.l2 -0.0062941 0.0150401 -0.418 0.675643
## Foods_3_CA_3.l2 0.0082717 0.0056237 1.471 0.141498
## Foods_1_CA_1.l3 -0.0284603 0.0366593 -0.776 0.437645
## Foods_2_CA_1.l3 -0.0020033 0.0221964 -0.090 0.928096
## Foods_3_CA_1.l3 -0.0061156 0.0074140 -0.825 0.409550
## Foods_1_CA_2.l3 0.0346365 0.0478983 0.723 0.469694
## Foods_2_CA_2.l3 0.0133430 0.0351586 0.380 0.704354
## Foods_3_CA_2.l3 -0.0039090 0.0093613 -0.418 0.676308
## Foods_1_CA_3.l3 0.0229104 0.0297559 0.770 0.441432
## Foods_2_CA_3.l3 -0.0006341 0.0151635 -0.042 0.966649
## Foods_3_CA_3.l3 0.0061040 0.0056409 1.082 0.279354
## Foods_1_CA_1.l4 -0.0169615 0.0366632 -0.463 0.643684
## Foods_2_CA_1.l4 -0.0058287 0.0222180 -0.262 0.793088
## Foods_3_CA_1.l4 0.0013599 0.0074043 0.184 0.854293
## Foods_1_CA_2.l4 -0.0192771 0.0478670 -0.403 0.687199
## Foods_2_CA_2.l4 -0.0087777 0.0350393 -0.251 0.802220
## Foods_3_CA_2.l4 0.0128986 0.0093846 1.374 0.169473
## Foods_1_CA_3.l4 0.0032373 0.0296710 0.109 0.913129
## Foods_2_CA_3.l4 0.0160630 0.0151528 1.060 0.289251
## Foods_3_CA_3.l4 -0.0042551 0.0056395 -0.755 0.450633
## Foods_1_CA_1.l5 0.0398882 0.0367727 1.085 0.278188
## Foods_2_CA_1.l5 0.0399429 0.0222731 1.793 0.073087 .
## Foods_3_CA_1.l5 -0.0290915 0.0074123 -3.925 9e-05 ***
## Foods_1_CA_2.l5 0.0111474 0.0482490 0.231 0.817310
## Foods_2_CA_2.l5 0.0096431 0.0350688 0.275 0.783365
## Foods_3_CA_2.l5 0.0005089 0.0094115 0.054 0.956884
## Foods_1_CA_3.l5 0.0081907 0.0296731 0.276 0.782554
## Foods_2_CA_3.l5 0.0051500 0.0151848 0.339 0.734531
## Foods_3_CA_3.l5 0.0101205 0.0056548 1.790 0.073663 .
## Foods_1_CA_1.l6 0.0375413 0.0366828 1.023 0.306252
## Foods_2_CA_1.l6 0.0007276 0.0222998 0.033 0.973975
## Foods_3_CA_1.l6 0.0007341 0.0074399 0.099 0.921407
## Foods_1_CA_2.l6 0.1245609 0.0481571 2.587 0.009771 **
## Foods_2_CA_2.l6 0.0463556 0.0349221 1.327 0.184542
## Foods_3_CA_2.l6 -0.0009436 0.0094164 -0.100 0.920187
## Foods_1_CA_3.l6 -0.0007133 0.0297454 -0.024 0.980871
## Foods_2_CA_3.l6 -0.0253801 0.0152235 -1.667 0.095653 .
## Foods_3_CA_3.l6 0.0006396 0.0056676 0.113 0.910164
## Foods_1_CA_1.l7 -0.0121639 0.0365655 -0.333 0.739429
## Foods_2_CA_1.l7 -0.0260712 0.0223519 -1.166 0.243605
## Foods_3_CA_1.l7 0.0193042 0.0074657 2.586 0.009794 **
## Foods_1_CA_2.l7 0.0402854 0.0485165 0.830 0.406453
## Foods_2_CA_2.l7 0.1141816 0.0349961 3.263 0.001124 **
## Foods_3_CA_2.l7 0.0230393 0.0094045 2.450 0.014387 *
## Foods_1_CA_3.l7 -0.0019918 0.0296402 -0.067 0.946430
## Foods_2_CA_3.l7 0.0310886 0.0152469 2.039 0.041592 *
## Foods_3_CA_3.l7 -0.0099149 0.0056891 -1.743 0.081540 .
## Foods_1_CA_1.l8 0.0132651 0.0367264 0.361 0.718001
## Foods_2_CA_1.l8 0.0052702 0.0223240 0.236 0.813398
## Foods_3_CA_1.l8 -0.0057156 0.0075121 -0.761 0.446843
## Foods_1_CA_2.l8 -0.0568420 0.0483417 -1.176 0.239814
## Foods_2_CA_2.l8 -0.0081518 0.0349379 -0.233 0.815537
## Foods_3_CA_2.l8 -0.0010052 0.0094819 -0.106 0.915580
## Foods_1_CA_3.l8 0.0099301 0.0295953 0.336 0.737264
## Foods_2_CA_3.l8 0.0212793 0.0152262 1.398 0.162419
## Foods_3_CA_3.l8 -0.0093960 0.0056848 -1.653 0.098538 .
## Foods_1_CA_1.l9 -0.0517547 0.0368257 -1.405 0.160073
## Foods_2_CA_1.l9 -0.0048696 0.0223130 -0.218 0.827265
## Foods_3_CA_1.l9 0.0074078 0.0074989 0.988 0.323360
## Foods_1_CA_2.l9 0.0445875 0.0481759 0.926 0.354821
## Foods_2_CA_2.l9 -0.0296432 0.0348255 -0.851 0.394774
## Foods_3_CA_2.l9 0.0013908 0.0094432 0.147 0.882923
## Foods_1_CA_3.l9 -0.0770434 0.0295577 -2.607 0.009220 **
## Foods_2_CA_3.l9 -0.0276257 0.0152333 -1.814 0.069918 .
## Foods_3_CA_3.l9 0.0052477 0.0056564 0.928 0.353665
## Foods_1_CA_1.l10 -0.0039831 0.0368484 -0.108 0.913933
## Foods_2_CA_1.l10 -0.0258229 0.0223185 -1.157 0.247415
## Foods_3_CA_1.l10 0.0049998 0.0074995 0.667 0.505059
## Foods_1_CA_2.l10 0.0675697 0.0482054 1.402 0.161173
## Foods_2_CA_2.l10 0.0615340 0.0348766 1.764 0.077842 .
## Foods_3_CA_2.l10 -0.0142050 0.0094031 -1.511 0.131043
## Foods_1_CA_3.l10 0.0008148 0.0294134 0.028 0.977903
## Foods_2_CA_3.l10 0.0022029 0.0152280 0.145 0.884997
## Foods_3_CA_3.l10 0.0069801 0.0056421 1.237 0.216187
## Foods_1_CA_1.l11 0.0148547 0.0367616 0.404 0.686199
## Foods_2_CA_1.l11 0.0655496 0.0222813 2.942 0.003303 **
## Foods_3_CA_1.l11 -0.0167648 0.0074753 -2.243 0.025037 *
## Foods_1_CA_2.l11 -0.0707902 0.0482754 -1.466 0.142716
## Foods_2_CA_2.l11 0.0354679 0.0348903 1.017 0.309499
## Foods_3_CA_2.l11 -0.0093660 0.0094090 -0.995 0.319658
## Foods_1_CA_3.l11 0.0400331 0.0293886 1.362 0.173303
## Foods_2_CA_3.l11 -0.0061431 0.0151955 -0.404 0.686063
## Foods_3_CA_3.l11 -0.0029649 0.0056269 -0.527 0.598319
## Foods_1_CA_1.l12 -0.0108379 0.0366814 -0.295 0.767677
## Foods_2_CA_1.l12 -0.0339618 0.0223732 -1.518 0.129196
## Foods_3_CA_1.l12 0.0040889 0.0074962 0.545 0.585501
## Foods_1_CA_2.l12 -0.0446772 0.0483918 -0.923 0.356004
## Foods_2_CA_2.l12 0.0222814 0.0348876 0.639 0.523122
## Foods_3_CA_2.l12 0.0020568 0.0094052 0.219 0.826914
## Foods_1_CA_3.l12 -0.0276812 0.0294247 -0.941 0.346959
## Foods_2_CA_3.l12 -0.0067517 0.0151491 -0.446 0.655878
## Foods_3_CA_3.l12 0.0030423 0.0056120 0.542 0.587815
## Foods_1_CA_1.l13 -0.0285168 0.0366183 -0.779 0.436223
## Foods_2_CA_1.l13 -0.0036744 0.0222257 -0.165 0.868708
## Foods_3_CA_1.l13 0.0048139 0.0074862 0.643 0.520277
## Foods_1_CA_2.l13 0.1243805 0.0481672 2.582 0.009893 **
## Foods_2_CA_2.l13 0.0421363 0.0348481 1.209 0.226765
## Foods_3_CA_2.l13 -0.0025691 0.0094320 -0.272 0.785361
## Foods_1_CA_3.l13 0.0187443 0.0292859 0.640 0.522223
## Foods_2_CA_3.l13 -0.0036144 0.0150606 -0.240 0.810367
## Foods_3_CA_3.l13 0.0022898 0.0055817 0.410 0.681687
## Foods_1_CA_1.l14 -0.0150274 0.0352999 -0.426 0.670371
## Foods_2_CA_1.l14 0.0164409 0.0212288 0.774 0.438756
## Foods_3_CA_1.l14 0.0069476 0.0072020 0.965 0.334832
## Foods_1_CA_2.l14 0.0198466 0.0466340 0.426 0.670463
## Foods_2_CA_2.l14 0.0239119 0.0340873 0.701 0.483088
## Foods_3_CA_2.l14 0.0277452 0.0090494 3.066 0.002201 **
## Foods_1_CA_3.l14 0.0108751 0.0279050 0.390 0.696789
## Foods_2_CA_3.l14 -0.0091073 0.0140188 -0.650 0.516003
## Foods_3_CA_3.l14 -0.0105143 0.0052603 -1.999 0.045775 *
## const 40.2364128 10.4530968 3.849 0.000123 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 31.26 on 1828 degrees of freedom
## Multiple R-Squared: 0.7513, Adjusted R-squared: 0.7342
## F-statistic: 43.83 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_2:
## =============================================
## Foods_3_CA_2 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 -4.013e-03 1.558e-01 -0.026 0.979453
## Foods_2_CA_1.l1 1.084e-01 9.419e-02 1.151 0.250014
## Foods_3_CA_1.l1 -2.993e-02 3.148e-02 -0.951 0.341909
## Foods_1_CA_2.l1 -1.913e-01 2.055e-01 -0.931 0.352085
## Foods_2_CA_2.l1 3.673e-01 1.509e-01 2.433 0.015051 *
## Foods_3_CA_2.l1 2.698e-01 3.994e-02 6.756 1.90e-11 ***
## Foods_1_CA_3.l1 -1.071e-01 1.275e-01 -0.840 0.401106
## Foods_2_CA_3.l1 -8.979e-02 6.253e-02 -1.436 0.151195
## Foods_3_CA_3.l1 7.900e-03 2.376e-02 0.332 0.739562
## Foods_1_CA_1.l2 -8.144e-02 1.622e-01 -0.502 0.615645
## Foods_2_CA_1.l2 -1.986e-02 9.799e-02 -0.203 0.839379
## Foods_3_CA_1.l2 -3.234e-02 3.279e-02 -0.986 0.324141
## Foods_1_CA_2.l2 -1.374e-01 2.123e-01 -0.647 0.517666
## Foods_2_CA_2.l2 -2.165e-02 1.549e-01 -0.140 0.888902
## Foods_3_CA_2.l2 -1.673e-02 4.114e-02 -0.407 0.684324
## Foods_1_CA_3.l2 1.032e-01 1.320e-01 0.782 0.434147
## Foods_2_CA_3.l2 -2.643e-02 6.660e-02 -0.397 0.691493
## Foods_3_CA_3.l2 5.134e-02 2.490e-02 2.061 0.039397 *
## Foods_1_CA_1.l3 -3.832e-02 1.623e-01 -0.236 0.813418
## Foods_2_CA_1.l3 -2.112e-03 9.829e-02 -0.021 0.982864
## Foods_3_CA_1.l3 -4.012e-02 3.283e-02 -1.222 0.221881
## Foods_1_CA_2.l3 2.500e-01 2.121e-01 1.179 0.238716
## Foods_2_CA_2.l3 -2.274e-01 1.557e-01 -1.461 0.144314
## Foods_3_CA_2.l3 6.378e-02 4.145e-02 1.539 0.124071
## Foods_1_CA_3.l3 1.576e-01 1.318e-01 1.196 0.231949
## Foods_2_CA_3.l3 3.445e-02 6.715e-02 0.513 0.607994
## Foods_3_CA_3.l3 1.095e-02 2.498e-02 0.438 0.661245
## Foods_1_CA_1.l4 -6.021e-02 1.624e-01 -0.371 0.710792
## Foods_2_CA_1.l4 -4.357e-02 9.839e-02 -0.443 0.657947
## Foods_3_CA_1.l4 9.142e-03 3.279e-02 0.279 0.780425
## Foods_1_CA_2.l4 -7.425e-02 2.120e-01 -0.350 0.726182
## Foods_2_CA_2.l4 -2.555e-01 1.552e-01 -1.646 0.099842 .
## Foods_3_CA_2.l4 8.464e-02 4.156e-02 2.037 0.041828 *
## Foods_1_CA_3.l4 -1.254e-01 1.314e-01 -0.955 0.339881
## Foods_2_CA_3.l4 4.723e-02 6.710e-02 0.704 0.481581
## Foods_3_CA_3.l4 -3.317e-03 2.497e-02 -0.133 0.894349
## Foods_1_CA_1.l5 9.204e-02 1.628e-01 0.565 0.571996
## Foods_2_CA_1.l5 2.743e-01 9.863e-02 2.781 0.005474 **
## Foods_3_CA_1.l5 -1.598e-01 3.282e-02 -4.869 1.22e-06 ***
## Foods_1_CA_2.l5 7.683e-02 2.137e-01 0.360 0.719211
## Foods_2_CA_2.l5 -8.550e-02 1.553e-01 -0.551 0.581994
## Foods_3_CA_2.l5 2.153e-02 4.168e-02 0.516 0.605579
## Foods_1_CA_3.l5 1.377e-02 1.314e-01 0.105 0.916550
## Foods_2_CA_3.l5 -1.084e-01 6.724e-02 -1.613 0.107016
## Foods_3_CA_3.l5 7.472e-02 2.504e-02 2.984 0.002883 **
## Foods_1_CA_1.l6 1.969e-01 1.624e-01 1.212 0.225698
## Foods_2_CA_1.l6 -6.305e-03 9.875e-02 -0.064 0.949099
## Foods_3_CA_1.l6 4.614e-02 3.295e-02 1.401 0.161507
## Foods_1_CA_2.l6 2.341e-01 2.133e-01 1.098 0.272539
## Foods_2_CA_2.l6 -1.147e-01 1.546e-01 -0.742 0.458197
## Foods_3_CA_2.l6 4.335e-02 4.170e-02 1.040 0.298655
## Foods_1_CA_3.l6 1.283e-01 1.317e-01 0.974 0.330064
## Foods_2_CA_3.l6 -2.350e-02 6.741e-02 -0.349 0.727479
## Foods_3_CA_3.l6 -3.497e-02 2.510e-02 -1.393 0.163718
## Foods_1_CA_1.l7 -3.690e-01 1.619e-01 -2.279 0.022785 *
## Foods_2_CA_1.l7 -5.257e-02 9.898e-02 -0.531 0.595404
## Foods_3_CA_1.l7 1.188e-01 3.306e-02 3.594 0.000335 ***
## Foods_1_CA_2.l7 4.336e-01 2.148e-01 2.018 0.043718 *
## Foods_2_CA_2.l7 -1.341e-01 1.550e-01 -0.865 0.387085
## Foods_3_CA_2.l7 2.587e-01 4.165e-02 6.211 6.50e-10 ***
## Foods_1_CA_3.l7 9.075e-02 1.313e-01 0.691 0.489405
## Foods_2_CA_3.l7 6.837e-02 6.752e-02 1.013 0.311347
## Foods_3_CA_3.l7 -4.535e-02 2.519e-02 -1.800 0.071990 .
## Foods_1_CA_1.l8 2.495e-01 1.626e-01 1.534 0.125109
## Foods_2_CA_1.l8 -2.181e-02 9.886e-02 -0.221 0.825385
## Foods_3_CA_1.l8 -4.535e-03 3.327e-02 -0.136 0.891585
## Foods_1_CA_2.l8 -1.576e-01 2.141e-01 -0.736 0.461682
## Foods_2_CA_2.l8 -9.036e-02 1.547e-01 -0.584 0.559266
## Foods_3_CA_2.l8 1.933e-02 4.199e-02 0.460 0.645316
## Foods_1_CA_3.l8 -1.641e-01 1.311e-01 -1.252 0.210706
## Foods_2_CA_3.l8 1.891e-01 6.743e-02 2.805 0.005087 **
## Foods_3_CA_3.l8 -6.253e-02 2.517e-02 -2.484 0.013088 *
## Foods_1_CA_1.l9 -2.340e-01 1.631e-01 -1.435 0.151426
## Foods_2_CA_1.l9 4.689e-02 9.881e-02 0.475 0.635139
## Foods_3_CA_1.l9 -5.387e-03 3.321e-02 -0.162 0.871149
## Foods_1_CA_2.l9 8.434e-02 2.133e-01 0.395 0.692645
## Foods_2_CA_2.l9 -1.741e-01 1.542e-01 -1.129 0.258967
## Foods_3_CA_2.l9 -1.143e-02 4.182e-02 -0.273 0.784593
## Foods_1_CA_3.l9 -9.000e-02 1.309e-01 -0.688 0.491777
## Foods_2_CA_3.l9 -1.089e-01 6.746e-02 -1.615 0.106531
## Foods_3_CA_3.l9 1.415e-02 2.505e-02 0.565 0.572179
## Foods_1_CA_1.l10 -2.047e-01 1.632e-01 -1.254 0.209868
## Foods_2_CA_1.l10 -2.036e-02 9.883e-02 -0.206 0.836806
## Foods_3_CA_1.l10 6.871e-03 3.321e-02 0.207 0.836121
## Foods_1_CA_2.l10 1.147e-01 2.135e-01 0.537 0.591146
## Foods_2_CA_2.l10 2.645e-01 1.544e-01 1.713 0.086913 .
## Foods_3_CA_2.l10 -5.892e-02 4.164e-02 -1.415 0.157236
## Foods_1_CA_3.l10 -5.254e-02 1.303e-01 -0.403 0.686741
## Foods_2_CA_3.l10 -3.482e-02 6.743e-02 -0.516 0.605621
## Foods_3_CA_3.l10 3.666e-02 2.498e-02 1.467 0.142492
## Foods_1_CA_1.l11 6.173e-02 1.628e-01 0.379 0.704604
## Foods_2_CA_1.l11 1.136e-01 9.867e-02 1.152 0.249668
## Foods_3_CA_1.l11 -3.437e-02 3.310e-02 -1.038 0.299326
## Foods_1_CA_2.l11 -2.045e-01 2.138e-01 -0.956 0.338978
## Foods_2_CA_2.l11 -3.971e-02 1.545e-01 -0.257 0.797197
## Foods_3_CA_2.l11 2.383e-04 4.167e-02 0.006 0.995438
## Foods_1_CA_3.l11 1.378e-01 1.301e-01 1.058 0.289968
## Foods_2_CA_3.l11 4.250e-02 6.729e-02 0.632 0.527762
## Foods_3_CA_3.l11 -1.488e-02 2.492e-02 -0.597 0.550393
## Foods_1_CA_1.l12 -3.316e-02 1.624e-01 -0.204 0.838249
## Foods_2_CA_1.l12 -2.074e-01 9.908e-02 -2.093 0.036486 *
## Foods_3_CA_1.l12 3.752e-02 3.320e-02 1.130 0.258485
## Foods_1_CA_2.l12 -3.885e-02 2.143e-01 -0.181 0.856171
## Foods_2_CA_2.l12 2.169e-01 1.545e-01 1.404 0.160422
## Foods_3_CA_2.l12 -4.000e-02 4.165e-02 -0.960 0.337024
## Foods_1_CA_3.l12 -8.326e-02 1.303e-01 -0.639 0.522903
## Foods_2_CA_3.l12 1.533e-02 6.708e-02 0.228 0.819317
## Foods_3_CA_3.l12 1.230e-05 2.485e-02 0.000 0.999605
## Foods_1_CA_1.l13 9.947e-02 1.622e-01 0.613 0.539685
## Foods_2_CA_1.l13 -1.167e-01 9.842e-02 -1.185 0.236066
## Foods_3_CA_1.l13 3.861e-02 3.315e-02 1.165 0.244253
## Foods_1_CA_2.l13 4.001e-01 2.133e-01 1.876 0.060859 .
## Foods_2_CA_2.l13 -1.340e-01 1.543e-01 -0.868 0.385271
## Foods_3_CA_2.l13 2.223e-02 4.177e-02 0.532 0.594658
## Foods_1_CA_3.l13 6.036e-02 1.297e-01 0.465 0.641692
## Foods_2_CA_3.l13 1.037e-03 6.669e-02 0.016 0.987591
## Foods_3_CA_3.l13 2.370e-02 2.472e-02 0.959 0.337771
## Foods_1_CA_1.l14 -1.031e-01 1.563e-01 -0.660 0.509527
## Foods_2_CA_1.l14 1.174e-01 9.401e-02 1.249 0.211700
## Foods_3_CA_1.l14 3.816e-02 3.189e-02 1.197 0.231655
## Foods_1_CA_2.l14 1.504e-02 2.065e-01 0.073 0.941951
## Foods_2_CA_2.l14 -1.238e-01 1.509e-01 -0.820 0.412176
## Foods_3_CA_2.l14 2.732e-01 4.007e-02 6.818 1.25e-11 ***
## Foods_1_CA_3.l14 -3.748e-02 1.236e-01 -0.303 0.761671
## Foods_2_CA_3.l14 1.156e-02 6.208e-02 0.186 0.852362
## Foods_3_CA_3.l14 -7.004e-02 2.329e-02 -3.007 0.002678 **
## const 1.606e+02 4.629e+01 3.470 0.000532 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 138.4 on 1828 degrees of freedom
## Multiple R-Squared: 0.8341, Adjusted R-squared: 0.8227
## F-statistic: 72.94 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_3:
## =============================================
## Foods_1_CA_3 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 0.2663102 0.0348692 7.637 3.55e-14 ***
## Foods_2_CA_1.l1 -0.0060774 0.0210812 -0.288 0.773163
## Foods_3_CA_1.l1 -0.0121201 0.0070463 -1.720 0.085589 .
## Foods_1_CA_2.l1 0.0636171 0.0460040 1.383 0.166877
## Foods_2_CA_2.l1 0.0339819 0.0337779 1.006 0.314530
## Foods_3_CA_2.l1 -0.0126443 0.0089388 -1.415 0.157374
## Foods_1_CA_3.l1 0.2993028 0.0285389 10.488 < 2e-16 ***
## Foods_2_CA_3.l1 -0.0315721 0.0139951 -2.256 0.024192 *
## Foods_3_CA_3.l1 0.0061727 0.0053181 1.161 0.245918
## Foods_1_CA_1.l2 0.0484738 0.0363013 1.335 0.181938
## Foods_2_CA_1.l2 -0.0214394 0.0219318 -0.978 0.328427
## Foods_3_CA_1.l2 -0.0002749 0.0073383 -0.037 0.970123
## Foods_1_CA_2.l2 -0.0240319 0.0475131 -0.506 0.613062
## Foods_2_CA_2.l2 0.0092910 0.0346759 0.268 0.788777
## Foods_3_CA_2.l2 -0.0116033 0.0092067 -1.260 0.207719
## Foods_1_CA_3.l2 0.0910282 0.0295395 3.082 0.002090 **
## Foods_2_CA_3.l2 0.0172855 0.0149064 1.160 0.246364
## Foods_3_CA_3.l2 0.0027267 0.0055737 0.489 0.624753
## Foods_1_CA_1.l3 -0.0207257 0.0363334 -0.570 0.568455
## Foods_2_CA_1.l3 0.0326874 0.0219991 1.486 0.137491
## Foods_3_CA_1.l3 -0.0031323 0.0073481 -0.426 0.669957
## Foods_1_CA_2.l3 0.0762468 0.0474725 1.606 0.108419
## Foods_2_CA_2.l3 -0.0252129 0.0348461 -0.724 0.469434
## Foods_3_CA_2.l3 -0.0011328 0.0092781 -0.122 0.902838
## Foods_1_CA_3.l3 0.0427900 0.0294914 1.451 0.146970
## Foods_2_CA_3.l3 0.0166314 0.0150287 1.107 0.268592
## Foods_3_CA_3.l3 -0.0032029 0.0055907 -0.573 0.566790
## Foods_1_CA_1.l4 -0.0079176 0.0363373 -0.218 0.827537
## Foods_2_CA_1.l4 0.0013182 0.0220205 0.060 0.952272
## Foods_3_CA_1.l4 0.0033886 0.0073385 0.462 0.644313
## Foods_1_CA_2.l4 0.0434151 0.0474415 0.915 0.360245
## Foods_2_CA_2.l4 -0.0378317 0.0347278 -1.089 0.276131
## Foods_3_CA_2.l4 0.0087525 0.0093012 0.941 0.346824
## Foods_1_CA_3.l4 0.0129792 0.0294072 0.441 0.659004
## Foods_2_CA_3.l4 0.0008925 0.0150181 0.059 0.952616
## Foods_3_CA_3.l4 0.0089541 0.0055894 1.602 0.109330
## Foods_1_CA_1.l5 -0.0223365 0.0364459 -0.613 0.540040
## Foods_2_CA_1.l5 0.0463401 0.0220752 2.099 0.035936 *
## Foods_3_CA_1.l5 -0.0163532 0.0073464 -2.226 0.026134 *
## Foods_1_CA_2.l5 -0.0097226 0.0478201 -0.203 0.838911
## Foods_2_CA_2.l5 -0.0204364 0.0347571 -0.588 0.556619
## Foods_3_CA_2.l5 -0.0075274 0.0093279 -0.807 0.419784
## Foods_1_CA_3.l5 0.0991637 0.0294094 3.372 0.000762 ***
## Foods_2_CA_3.l5 -0.0223511 0.0150499 -1.485 0.137681
## Foods_3_CA_3.l5 0.0023748 0.0056045 0.424 0.671818
## Foods_1_CA_1.l6 0.0557058 0.0363567 1.532 0.125646
## Foods_2_CA_1.l6 -0.0045981 0.0221016 -0.208 0.835218
## Foods_3_CA_1.l6 -0.0086595 0.0073738 -1.174 0.240403
## Foods_1_CA_2.l6 -0.0457512 0.0477290 -0.959 0.337906
## Foods_2_CA_2.l6 0.0234014 0.0346117 0.676 0.499055
## Foods_3_CA_2.l6 0.0011048 0.0093326 0.118 0.905778
## Foods_1_CA_3.l6 0.0400011 0.0294809 1.357 0.174997
## Foods_2_CA_3.l6 0.0099306 0.0150882 0.658 0.510511
## Foods_3_CA_3.l6 0.0039698 0.0056172 0.707 0.479834
## Foods_1_CA_1.l7 -0.0025958 0.0362405 -0.072 0.942907
## Foods_2_CA_1.l7 -0.0260022 0.0221532 -1.174 0.240649
## Foods_3_CA_1.l7 0.0291556 0.0073993 3.940 8.44e-05 ***
## Foods_1_CA_2.l7 0.1347479 0.0480853 2.802 0.005128 **
## Foods_2_CA_2.l7 0.0118066 0.0346850 0.340 0.733599
## Foods_3_CA_2.l7 -0.0020568 0.0093209 -0.221 0.825377
## Foods_1_CA_3.l7 -0.0060389 0.0293768 -0.206 0.837152
## Foods_2_CA_3.l7 0.0209827 0.0151113 1.389 0.165141
## Foods_3_CA_3.l7 -0.0065035 0.0056386 -1.153 0.248899
## Foods_1_CA_1.l8 0.0085104 0.0364000 0.234 0.815165
## Foods_2_CA_1.l8 0.0490124 0.0221255 2.215 0.026869 *
## Foods_3_CA_1.l8 -0.0139918 0.0074453 -1.879 0.060367 .
## Foods_1_CA_2.l8 -0.0720039 0.0479120 -1.503 0.133054
## Foods_2_CA_2.l8 -0.0093996 0.0346273 -0.271 0.786076
## Foods_3_CA_2.l8 0.0194472 0.0093976 2.069 0.038651 *
## Foods_1_CA_3.l8 -0.0180953 0.0293322 -0.617 0.537372
## Foods_2_CA_3.l8 -0.0065052 0.0150908 -0.431 0.666468
## Foods_3_CA_3.l8 -0.0023839 0.0056343 -0.423 0.672273
## Foods_1_CA_1.l9 -0.0475317 0.0364983 -1.302 0.192978
## Foods_2_CA_1.l9 0.0254344 0.0221147 1.150 0.250247
## Foods_3_CA_1.l9 -0.0058454 0.0074323 -0.786 0.431680
## Foods_1_CA_2.l9 -0.0081078 0.0477477 -0.170 0.865182
## Foods_2_CA_2.l9 0.0582766 0.0345160 1.688 0.091506 .
## Foods_3_CA_2.l9 -0.0142413 0.0093592 -1.522 0.128275
## Foods_1_CA_3.l9 -0.0399425 0.0292949 -1.363 0.172905
## Foods_2_CA_3.l9 0.0166015 0.0150979 1.100 0.271656
## Foods_3_CA_3.l9 -0.0064962 0.0056061 -1.159 0.246703
## Foods_1_CA_1.l10 -0.0406836 0.0365208 -1.114 0.265432
## Foods_2_CA_1.l10 -0.0497034 0.0221201 -2.247 0.024760 *
## Foods_3_CA_1.l10 0.0127226 0.0074328 1.712 0.087126 .
## Foods_1_CA_2.l10 -0.0646619 0.0477769 -1.353 0.176091
## Foods_2_CA_2.l10 -0.0160684 0.0345666 -0.465 0.642092
## Foods_3_CA_2.l10 0.0010609 0.0093195 0.114 0.909384
## Foods_1_CA_3.l10 -0.0735711 0.0291519 -2.524 0.011696 *
## Foods_2_CA_3.l10 -0.0084684 0.0150926 -0.561 0.574800
## Foods_3_CA_3.l10 -0.0004455 0.0055919 -0.080 0.936511
## Foods_1_CA_1.l11 -0.0138943 0.0364348 -0.381 0.702991
## Foods_2_CA_1.l11 0.0291045 0.0220833 1.318 0.187688
## Foods_3_CA_1.l11 -0.0158589 0.0074089 -2.141 0.032444 *
## Foods_1_CA_2.l11 0.1208328 0.0478463 2.525 0.011639 *
## Foods_2_CA_2.l11 0.0534233 0.0345801 1.545 0.122540
## Foods_3_CA_2.l11 -0.0084699 0.0093254 -0.908 0.363861
## Foods_1_CA_3.l11 -0.0498601 0.0291273 -1.712 0.087103 .
## Foods_2_CA_3.l11 0.0064307 0.0150604 0.427 0.669433
## Foods_3_CA_3.l11 0.0027849 0.0055769 0.499 0.617581
## Foods_1_CA_1.l12 -0.0321740 0.0363554 -0.885 0.376280
## Foods_2_CA_1.l12 -0.0160145 0.0221743 -0.722 0.470258
## Foods_3_CA_1.l12 0.0031650 0.0074295 0.426 0.670156
## Foods_1_CA_2.l12 -0.0497586 0.0479616 -1.037 0.299655
## Foods_2_CA_2.l12 -0.0174772 0.0345774 -0.505 0.613302
## Foods_3_CA_2.l12 -0.0062167 0.0093216 -0.667 0.504908
## Foods_1_CA_3.l12 0.0376669 0.0291631 1.292 0.196661
## Foods_2_CA_3.l12 -0.0155455 0.0150144 -1.035 0.300631
## Foods_3_CA_3.l12 -0.0057282 0.0055621 -1.030 0.303210
## Foods_1_CA_1.l13 0.0393778 0.0362928 1.085 0.278064
## Foods_2_CA_1.l13 -0.0353181 0.0220281 -1.603 0.109037
## Foods_3_CA_1.l13 0.0011060 0.0074197 0.149 0.881521
## Foods_1_CA_2.l13 0.0182153 0.0477391 0.382 0.702832
## Foods_2_CA_2.l13 -0.0133302 0.0345384 -0.386 0.699576
## Foods_3_CA_2.l13 -0.0138121 0.0093481 -1.478 0.139708
## Foods_1_CA_3.l13 0.0153179 0.0290256 0.528 0.597746
## Foods_2_CA_3.l13 0.0102164 0.0149267 0.684 0.493787
## Foods_3_CA_3.l13 0.0078249 0.0055321 1.414 0.157399
## Foods_1_CA_1.l14 -0.0469940 0.0349861 -1.343 0.179368
## Foods_2_CA_1.l14 0.0212105 0.0210401 1.008 0.313540
## Foods_3_CA_1.l14 0.0065764 0.0071380 0.921 0.357004
## Foods_1_CA_2.l14 0.0081729 0.0462195 0.177 0.859663
## Foods_2_CA_2.l14 0.0178816 0.0337843 0.529 0.596671
## Foods_3_CA_2.l14 0.0117629 0.0089690 1.312 0.189852
## Foods_1_CA_3.l14 0.0061780 0.0276569 0.223 0.823264
## Foods_2_CA_3.l14 -0.0059167 0.0138942 -0.426 0.670276
## Foods_3_CA_3.l14 -0.0038490 0.0052135 -0.738 0.460442
## const 94.2575537 10.3601784 9.098 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 30.98 on 1828 degrees of freedom
## Multiple R-Squared: 0.6115, Adjusted R-squared: 0.5847
## F-statistic: 22.83 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_3:
## =============================================
## Foods_2_CA_3 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 0.1824952 0.0887824 2.056 0.039969 *
## Foods_2_CA_1.l1 0.1368611 0.0536761 2.550 0.010861 *
## Foods_3_CA_1.l1 -0.0181629 0.0179409 -1.012 0.311494
## Foods_1_CA_2.l1 -0.1689439 0.1171334 -1.442 0.149383
## Foods_2_CA_2.l1 0.2933862 0.0860039 3.411 0.000661 ***
## Foods_3_CA_2.l1 -0.0051456 0.0227597 -0.226 0.821163
## Foods_1_CA_3.l1 0.0283448 0.0726646 0.390 0.696525
## Foods_2_CA_3.l1 0.4150850 0.0356337 11.649 < 2e-16 ***
## Foods_3_CA_3.l1 -0.0204267 0.0135408 -1.509 0.131590
## Foods_1_CA_1.l2 0.0760508 0.0924289 0.823 0.410727
## Foods_2_CA_1.l2 0.0492541 0.0558418 0.882 0.377876
## Foods_3_CA_1.l2 -0.0301506 0.0186845 -1.614 0.106772
## Foods_1_CA_2.l2 0.0014244 0.1209757 0.012 0.990607
## Foods_2_CA_2.l2 0.1523108 0.0882902 1.725 0.084676 .
## Foods_3_CA_2.l2 -0.0753283 0.0234418 -3.213 0.001335 **
## Foods_1_CA_3.l2 0.0417195 0.0752122 0.555 0.579174
## Foods_2_CA_3.l2 0.0364335 0.0379541 0.960 0.337215
## Foods_3_CA_3.l2 0.0284774 0.0141915 2.007 0.044934 *
## Foods_1_CA_1.l3 0.0568012 0.0925105 0.614 0.539293
## Foods_2_CA_1.l3 -0.0088028 0.0560132 -0.157 0.875140
## Foods_3_CA_1.l3 -0.0199380 0.0187094 -1.066 0.286713
## Foods_1_CA_2.l3 -0.0124515 0.1208725 -0.103 0.917963
## Foods_2_CA_2.l3 -0.0483164 0.0887236 -0.545 0.586114
## Foods_3_CA_2.l3 0.0395884 0.0236235 1.676 0.093948 .
## Foods_1_CA_3.l3 -0.0078914 0.0750897 -0.105 0.916313
## Foods_2_CA_3.l3 0.0678882 0.0382654 1.774 0.076206 .
## Foods_3_CA_3.l3 -0.0005592 0.0142349 -0.039 0.968669
## Foods_1_CA_1.l4 -0.1985631 0.0925204 -2.146 0.031992 *
## Foods_2_CA_1.l4 0.1026919 0.0560676 1.832 0.067178 .
## Foods_3_CA_1.l4 -0.0408195 0.0186848 -2.185 0.029043 *
## Foods_1_CA_2.l4 0.1439746 0.1207935 1.192 0.233452
## Foods_2_CA_2.l4 -0.1576429 0.0884225 -1.783 0.074779 .
## Foods_3_CA_2.l4 0.0254362 0.0236823 1.074 0.282939
## Foods_1_CA_3.l4 0.0365339 0.0748754 0.488 0.625658
## Foods_2_CA_3.l4 0.0515407 0.0382384 1.348 0.177864
## Foods_3_CA_3.l4 0.0283738 0.0142314 1.994 0.046328 *
## Foods_1_CA_1.l5 0.0530433 0.0927969 0.572 0.567658
## Foods_2_CA_1.l5 0.0513666 0.0562068 0.914 0.360898
## Foods_3_CA_1.l5 -0.0187870 0.0187050 -1.004 0.315327
## Foods_1_CA_2.l5 0.0139725 0.1217575 0.115 0.908650
## Foods_2_CA_2.l5 -0.0422236 0.0884969 -0.477 0.633334
## Foods_3_CA_2.l5 -0.0246298 0.0237503 -1.037 0.299857
## Foods_1_CA_3.l5 0.0110558 0.0748809 0.148 0.882639
## Foods_2_CA_3.l5 0.0352031 0.0383193 0.919 0.358386
## Foods_3_CA_3.l5 0.0079067 0.0142700 0.554 0.579592
## Foods_1_CA_1.l6 -0.0492376 0.0925699 -0.532 0.594862
## Foods_2_CA_1.l6 -0.0261853 0.0562742 -0.465 0.641760
## Foods_3_CA_1.l6 0.0161835 0.0187748 0.862 0.388809
## Foods_1_CA_2.l6 -0.0884700 0.1215255 -0.728 0.466710
## Foods_2_CA_2.l6 -0.0029255 0.0881268 -0.033 0.973522
## Foods_3_CA_2.l6 0.0169822 0.0237624 0.715 0.474906
## Foods_1_CA_3.l6 0.0246532 0.0750631 0.328 0.742622
## Foods_2_CA_3.l6 -0.0030011 0.0384170 -0.078 0.937743
## Foods_3_CA_3.l6 -0.0110830 0.0143023 -0.775 0.438496
## Foods_1_CA_1.l7 -0.1265919 0.0922739 -1.372 0.170258
## Foods_2_CA_1.l7 0.0882760 0.0564054 1.565 0.117750
## Foods_3_CA_1.l7 0.0291831 0.0188398 1.549 0.121552
## Foods_1_CA_2.l7 0.0490905 0.1224327 0.401 0.688497
## Foods_2_CA_2.l7 -0.0761350 0.0883135 -0.862 0.388746
## Foods_3_CA_2.l7 0.0345506 0.0237326 1.456 0.145612
## Foods_1_CA_3.l7 0.0108108 0.0747979 0.145 0.885095
## Foods_2_CA_3.l7 0.1569203 0.0384758 4.078 4.73e-05 ***
## Foods_3_CA_3.l7 -0.0165731 0.0143567 -1.154 0.248494
## Foods_1_CA_1.l8 -0.0505290 0.0926800 -0.545 0.585684
## Foods_2_CA_1.l8 -0.1359546 0.0563350 -2.413 0.015906 *
## Foods_3_CA_1.l8 0.0268842 0.0189570 1.418 0.156311
## Foods_1_CA_2.l8 -0.0226805 0.1219916 -0.186 0.852529
## Foods_2_CA_2.l8 -0.0751685 0.0881666 -0.853 0.394007
## Foods_3_CA_2.l8 0.0143217 0.0239278 0.599 0.549554
## Foods_1_CA_3.l8 -0.1079479 0.0746845 -1.445 0.148521
## Foods_2_CA_3.l8 0.0342471 0.0384236 0.891 0.372884
## Foods_3_CA_3.l8 -0.0074834 0.0143458 -0.522 0.601983
## Foods_1_CA_1.l9 -0.0783428 0.0929305 -0.843 0.399324
## Foods_2_CA_1.l9 0.0158899 0.0563074 0.282 0.777823
## Foods_3_CA_1.l9 0.0030287 0.0189238 0.160 0.872860
## Foods_1_CA_2.l9 0.1243869 0.1215732 1.023 0.306375
## Foods_2_CA_2.l9 -0.0707262 0.0878830 -0.805 0.421054
## Foods_3_CA_2.l9 -0.0177367 0.0238300 -0.744 0.456791
## Foods_1_CA_3.l9 -0.0227363 0.0745895 -0.305 0.760539
## Foods_2_CA_3.l9 -0.0334967 0.0384416 -0.871 0.383669
## Foods_3_CA_3.l9 0.0063093 0.0142741 0.442 0.658534
## Foods_1_CA_1.l10 -0.0098402 0.0929878 -0.106 0.915735
## Foods_2_CA_1.l10 -0.0244935 0.0563212 -0.435 0.663694
## Foods_3_CA_1.l10 -0.0047785 0.0189251 -0.252 0.800686
## Foods_1_CA_2.l10 -0.0110308 0.1216474 -0.091 0.927758
## Foods_2_CA_2.l10 0.0498190 0.0880119 0.566 0.571430
## Foods_3_CA_2.l10 0.0074294 0.0237288 0.313 0.754242
## Foods_1_CA_3.l10 -0.0520710 0.0742253 -0.702 0.483064
## Foods_2_CA_3.l10 0.0152304 0.0384282 0.396 0.691905
## Foods_3_CA_3.l10 -0.0022956 0.0142379 -0.161 0.871927
## Foods_1_CA_1.l11 0.0566538 0.0927688 0.611 0.541475
## Foods_2_CA_1.l11 -0.0207217 0.0562275 -0.369 0.712519
## Foods_3_CA_1.l11 -0.0088558 0.0188641 -0.469 0.638803
## Foods_1_CA_2.l11 -0.1371267 0.1218242 -1.126 0.260478
## Foods_2_CA_2.l11 -0.0453364 0.0880464 -0.515 0.606675
## Foods_3_CA_2.l11 0.0055546 0.0237439 0.234 0.815058
## Foods_1_CA_3.l11 -0.0205672 0.0741627 -0.277 0.781561
## Foods_2_CA_3.l11 0.0003283 0.0383462 0.009 0.993171
## Foods_3_CA_3.l11 0.0086327 0.0141996 0.608 0.543294
## Foods_1_CA_1.l12 -0.1678950 0.0925665 -1.814 0.069876 .
## Foods_2_CA_1.l12 -0.0347114 0.0564593 -0.615 0.538761
## Foods_3_CA_1.l12 0.0216561 0.0189168 1.145 0.252437
## Foods_1_CA_2.l12 0.1839135 0.1221178 1.506 0.132231
## Foods_2_CA_2.l12 0.0441410 0.0880396 0.501 0.616167
## Foods_3_CA_2.l12 -0.0345106 0.0237342 -1.454 0.146106
## Foods_1_CA_3.l12 0.0212080 0.0742539 0.286 0.775205
## Foods_2_CA_3.l12 -0.0341483 0.0382290 -0.893 0.371837
## Foods_3_CA_3.l12 0.0035639 0.0141620 0.252 0.801338
## Foods_1_CA_1.l13 -0.0377146 0.0924073 -0.408 0.683223
## Foods_2_CA_1.l13 0.0156587 0.0560871 0.279 0.780134
## Foods_3_CA_1.l13 0.0304367 0.0188916 1.611 0.107326
## Foods_1_CA_2.l13 -0.0641623 0.1215512 -0.528 0.597659
## Foods_2_CA_2.l13 -0.0603099 0.0879401 -0.686 0.492922
## Foods_3_CA_2.l13 0.0074426 0.0238018 0.313 0.754553
## Foods_1_CA_3.l13 0.0810252 0.0739037 1.096 0.273065
## Foods_2_CA_3.l13 0.0568828 0.0380057 1.497 0.134646
## Foods_3_CA_3.l13 -0.0050299 0.0140855 -0.357 0.721059
## Foods_1_CA_1.l14 0.0706645 0.0890801 0.793 0.427724
## Foods_2_CA_1.l14 -0.0506894 0.0535713 -0.946 0.344170
## Foods_3_CA_1.l14 -0.0022930 0.0181744 -0.126 0.899616
## Foods_1_CA_2.l14 -0.0077490 0.1176820 -0.066 0.947507
## Foods_2_CA_2.l14 -0.0286850 0.0860202 -0.333 0.738819
## Foods_3_CA_2.l14 0.0354914 0.0228365 1.554 0.120320
## Foods_1_CA_3.l14 -0.0582093 0.0704189 -0.827 0.408564
## Foods_2_CA_3.l14 0.0741023 0.0353768 2.095 0.036339 *
## Foods_3_CA_3.l14 -0.0202041 0.0132744 -1.522 0.128174
## const 52.0632707 26.3786436 1.974 0.048567 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 78.88 on 1828 degrees of freedom
## Multiple R-Squared: 0.7275, Adjusted R-squared: 0.7087
## F-statistic: 38.73 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_3:
## =============================================
## Foods_3_CA_3 = Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + Foods_1_CA_1.l8 + Foods_2_CA_1.l8 + Foods_3_CA_1.l8 + Foods_1_CA_2.l8 + Foods_2_CA_2.l8 + Foods_3_CA_2.l8 + Foods_1_CA_3.l8 + Foods_2_CA_3.l8 + Foods_3_CA_3.l8 + Foods_1_CA_1.l9 + Foods_2_CA_1.l9 + Foods_3_CA_1.l9 + Foods_1_CA_2.l9 + Foods_2_CA_2.l9 + Foods_3_CA_2.l9 + Foods_1_CA_3.l9 + Foods_2_CA_3.l9 + Foods_3_CA_3.l9 + Foods_1_CA_1.l10 + Foods_2_CA_1.l10 + Foods_3_CA_1.l10 + Foods_1_CA_2.l10 + Foods_2_CA_2.l10 + Foods_3_CA_2.l10 + Foods_1_CA_3.l10 + Foods_2_CA_3.l10 + Foods_3_CA_3.l10 + Foods_1_CA_1.l11 + Foods_2_CA_1.l11 + Foods_3_CA_1.l11 + Foods_1_CA_2.l11 + Foods_2_CA_2.l11 + Foods_3_CA_2.l11 + Foods_1_CA_3.l11 + Foods_2_CA_3.l11 + Foods_3_CA_3.l11 + Foods_1_CA_1.l12 + Foods_2_CA_1.l12 + Foods_3_CA_1.l12 + Foods_1_CA_2.l12 + Foods_2_CA_2.l12 + Foods_3_CA_2.l12 + Foods_1_CA_3.l12 + Foods_2_CA_3.l12 + Foods_3_CA_3.l12 + Foods_1_CA_1.l13 + Foods_2_CA_1.l13 + Foods_3_CA_1.l13 + Foods_1_CA_2.l13 + Foods_2_CA_2.l13 + Foods_3_CA_2.l13 + Foods_1_CA_3.l13 + Foods_2_CA_3.l13 + Foods_3_CA_3.l13 + Foods_1_CA_1.l14 + Foods_2_CA_1.l14 + Foods_3_CA_1.l14 + Foods_1_CA_2.l14 + Foods_2_CA_2.l14 + Foods_3_CA_2.l14 + Foods_1_CA_3.l14 + Foods_2_CA_3.l14 + Foods_3_CA_3.l14 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Foods_1_CA_1.l1 9.017e-01 2.908e-01 3.101 0.001961 **
## Foods_2_CA_1.l1 1.132e-01 1.758e-01 0.644 0.519812
## Foods_3_CA_1.l1 3.221e-02 5.877e-02 0.548 0.583660
## Foods_1_CA_2.l1 -3.099e-01 3.837e-01 -0.808 0.419425
## Foods_2_CA_2.l1 1.893e-01 2.817e-01 0.672 0.501628
## Foods_3_CA_2.l1 4.285e-02 7.455e-02 0.575 0.565513
## Foods_1_CA_3.l1 1.370e-01 2.380e-01 0.576 0.565023
## Foods_2_CA_3.l1 -4.595e-02 1.167e-01 -0.394 0.693870
## Foods_3_CA_3.l1 3.287e-01 4.436e-02 7.410 1.92e-13 ***
## Foods_1_CA_1.l2 -2.802e-01 3.028e-01 -0.925 0.354852
## Foods_2_CA_1.l2 2.481e-01 1.829e-01 1.356 0.175181
## Foods_3_CA_1.l2 -5.570e-02 6.121e-02 -0.910 0.362892
## Foods_1_CA_2.l2 1.859e-01 3.963e-01 0.469 0.639082
## Foods_2_CA_2.l2 -1.815e-02 2.892e-01 -0.063 0.949969
## Foods_3_CA_2.l2 -1.828e-01 7.679e-02 -2.380 0.017410 *
## Foods_1_CA_3.l2 5.674e-03 2.464e-01 0.023 0.981628
## Foods_2_CA_3.l2 -1.684e-01 1.243e-01 -1.355 0.175690
## Foods_3_CA_3.l2 1.929e-01 4.649e-02 4.149 3.49e-05 ***
## Foods_1_CA_1.l3 -1.560e-01 3.030e-01 -0.515 0.606761
## Foods_2_CA_1.l3 8.401e-02 1.835e-01 0.458 0.647117
## Foods_3_CA_1.l3 -1.054e-01 6.129e-02 -1.720 0.085598 .
## Foods_1_CA_2.l3 2.083e-01 3.959e-01 0.526 0.598935
## Foods_2_CA_2.l3 -2.253e-01 2.906e-01 -0.775 0.438231
## Foods_3_CA_2.l3 1.013e-01 7.738e-02 1.309 0.190658
## Foods_1_CA_3.l3 7.386e-02 2.460e-01 0.300 0.764017
## Foods_2_CA_3.l3 3.847e-02 1.253e-01 0.307 0.758960
## Foods_3_CA_3.l3 7.574e-02 4.663e-02 1.624 0.104493
## Foods_1_CA_1.l4 -5.389e-01 3.031e-01 -1.778 0.075559 .
## Foods_2_CA_1.l4 1.866e-01 1.837e-01 1.016 0.309715
## Foods_3_CA_1.l4 -6.561e-02 6.121e-02 -1.072 0.283875
## Foods_1_CA_2.l4 2.785e-01 3.957e-01 0.704 0.481553
## Foods_2_CA_2.l4 -1.773e-01 2.896e-01 -0.612 0.540421
## Foods_3_CA_2.l4 -1.638e-02 7.758e-02 -0.211 0.832844
## Foods_1_CA_3.l4 1.099e-01 2.453e-01 0.448 0.654183
## Foods_2_CA_3.l4 1.624e-02 1.253e-01 0.130 0.896862
## Foods_3_CA_3.l4 1.270e-01 4.662e-02 2.724 0.006510 **
## Foods_1_CA_1.l5 7.886e-02 3.040e-01 0.259 0.795346
## Foods_2_CA_1.l5 3.480e-01 1.841e-01 1.890 0.058939 .
## Foods_3_CA_1.l5 -1.869e-01 6.127e-02 -3.050 0.002325 **
## Foods_1_CA_2.l5 2.189e-01 3.988e-01 0.549 0.583135
## Foods_2_CA_2.l5 -1.402e-01 2.899e-01 -0.483 0.628809
## Foods_3_CA_2.l5 -4.207e-02 7.780e-02 -0.541 0.588725
## Foods_1_CA_3.l5 -9.267e-02 2.453e-01 -0.378 0.705615
## Foods_2_CA_3.l5 -2.449e-02 1.255e-01 -0.195 0.845318
## Foods_3_CA_3.l5 1.236e-01 4.674e-02 2.645 0.008246 **
## Foods_1_CA_1.l6 2.976e-01 3.032e-01 0.981 0.326516
## Foods_2_CA_1.l6 -5.747e-02 1.843e-01 -0.312 0.755269
## Foods_3_CA_1.l6 2.294e-03 6.150e-02 0.037 0.970254
## Foods_1_CA_2.l6 4.934e-02 3.981e-01 0.124 0.901376
## Foods_2_CA_2.l6 -5.595e-02 2.887e-01 -0.194 0.846342
## Foods_3_CA_2.l6 -3.939e-02 7.784e-02 -0.506 0.612873
## Foods_1_CA_3.l6 3.005e-01 2.459e-01 1.222 0.221783
## Foods_2_CA_3.l6 -1.558e-01 1.258e-01 -1.238 0.215902
## Foods_3_CA_3.l6 4.149e-02 4.685e-02 0.886 0.375921
## Foods_1_CA_1.l7 -5.419e-01 3.023e-01 -1.793 0.073195 .
## Foods_2_CA_1.l7 1.932e-01 1.848e-01 1.046 0.295911
## Foods_3_CA_1.l7 1.823e-01 6.171e-02 2.954 0.003175 **
## Foods_1_CA_2.l7 4.814e-02 4.011e-01 0.120 0.904474
## Foods_2_CA_2.l7 -5.831e-01 2.893e-01 -2.016 0.043969 *
## Foods_3_CA_2.l7 2.982e-01 7.774e-02 3.836 0.000129 ***
## Foods_1_CA_3.l7 -1.124e-01 2.450e-01 -0.459 0.646613
## Foods_2_CA_3.l7 1.205e-01 1.260e-01 0.956 0.339347
## Foods_3_CA_3.l7 1.664e-03 4.703e-02 0.035 0.971774
## Foods_1_CA_1.l8 1.733e-01 3.036e-01 0.571 0.568164
## Foods_2_CA_1.l8 -1.909e-01 1.845e-01 -1.035 0.300970
## Foods_3_CA_1.l8 5.925e-02 6.210e-02 0.954 0.340173
## Foods_1_CA_2.l8 -2.762e-01 3.996e-01 -0.691 0.489509
## Foods_2_CA_2.l8 1.359e-01 2.888e-01 0.471 0.637914
## Foods_3_CA_2.l8 7.749e-03 7.838e-02 0.099 0.921261
## Foods_1_CA_3.l8 -5.803e-01 2.446e-01 -2.372 0.017789 *
## Foods_2_CA_3.l8 1.398e-01 1.259e-01 1.111 0.266798
## Foods_3_CA_3.l8 -5.820e-02 4.699e-02 -1.239 0.215675
## Foods_1_CA_1.l9 -5.614e-01 3.044e-01 -1.844 0.065340 .
## Foods_2_CA_1.l9 5.405e-02 1.844e-01 0.293 0.769526
## Foods_3_CA_1.l9 -1.387e-02 6.199e-02 -0.224 0.822994
## Foods_1_CA_2.l9 5.599e-01 3.982e-01 1.406 0.159883
## Foods_2_CA_2.l9 -3.671e-01 2.879e-01 -1.275 0.202424
## Foods_3_CA_2.l9 -9.221e-02 7.806e-02 -1.181 0.237671
## Foods_1_CA_3.l9 -9.838e-02 2.443e-01 -0.403 0.687251
## Foods_2_CA_3.l9 2.496e-02 1.259e-01 0.198 0.842913
## Foods_3_CA_3.l9 -2.893e-02 4.676e-02 -0.619 0.536246
## Foods_1_CA_1.l10 -1.784e-02 3.046e-01 -0.059 0.953312
## Foods_2_CA_1.l10 -1.773e-01 1.845e-01 -0.961 0.336695
## Foods_3_CA_1.l10 7.852e-04 6.199e-02 0.013 0.989896
## Foods_1_CA_2.l10 -2.488e-01 3.985e-01 -0.624 0.532404
## Foods_2_CA_2.l10 4.364e-02 2.883e-01 0.151 0.879704
## Foods_3_CA_2.l10 2.068e-02 7.773e-02 0.266 0.790216
## Foods_1_CA_3.l10 -4.431e-01 2.431e-01 -1.822 0.068556 .
## Foods_2_CA_3.l10 2.668e-02 1.259e-01 0.212 0.832162
## Foods_3_CA_3.l10 1.875e-02 4.664e-02 0.402 0.687663
## Foods_1_CA_1.l11 -7.615e-02 3.039e-01 -0.251 0.802165
## Foods_2_CA_1.l11 1.529e-01 1.842e-01 0.830 0.406456
## Foods_3_CA_1.l11 -1.239e-01 6.179e-02 -2.005 0.045116 *
## Foods_1_CA_2.l11 -1.260e-02 3.991e-01 -0.032 0.974815
## Foods_2_CA_2.l11 7.845e-02 2.884e-01 0.272 0.785665
## Foods_3_CA_2.l11 5.570e-02 7.778e-02 0.716 0.474029
## Foods_1_CA_3.l11 -7.196e-02 2.429e-01 -0.296 0.767100
## Foods_2_CA_3.l11 4.774e-02 1.256e-01 0.380 0.703965
## Foods_3_CA_3.l11 2.785e-02 4.651e-02 0.599 0.549408
## Foods_1_CA_1.l12 -6.442e-01 3.032e-01 -2.125 0.033757 *
## Foods_2_CA_1.l12 -2.722e-01 1.849e-01 -1.472 0.141234
## Foods_3_CA_1.l12 1.210e-01 6.197e-02 1.953 0.050918 .
## Foods_1_CA_2.l12 6.012e-01 4.000e-01 1.503 0.133006
## Foods_2_CA_2.l12 1.635e-01 2.884e-01 0.567 0.570946
## Foods_3_CA_2.l12 -1.854e-01 7.775e-02 -2.385 0.017203 *
## Foods_1_CA_3.l12 -1.574e-03 2.432e-01 -0.006 0.994837
## Foods_2_CA_3.l12 -9.886e-02 1.252e-01 -0.789 0.429938
## Foods_3_CA_3.l12 2.500e-02 4.639e-02 0.539 0.589968
## Foods_1_CA_1.l13 4.244e-02 3.027e-01 0.140 0.888506
## Foods_2_CA_1.l13 -3.520e-01 1.837e-01 -1.916 0.055566 .
## Foods_3_CA_1.l13 1.065e-01 6.188e-02 1.721 0.085354 .
## Foods_1_CA_2.l13 -2.254e-01 3.982e-01 -0.566 0.571376
## Foods_2_CA_2.l13 1.719e-01 2.881e-01 0.597 0.550846
## Foods_3_CA_2.l13 -1.103e-01 7.797e-02 -1.415 0.157373
## Foods_1_CA_3.l13 -7.247e-03 2.421e-01 -0.030 0.976123
## Foods_2_CA_3.l13 6.772e-02 1.245e-01 0.544 0.586546
## Foods_3_CA_3.l13 4.631e-02 4.614e-02 1.004 0.315630
## Foods_1_CA_1.l14 2.093e-01 2.918e-01 0.717 0.473337
## Foods_2_CA_1.l14 3.286e-02 1.755e-01 0.187 0.851487
## Foods_3_CA_1.l14 5.280e-02 5.953e-02 0.887 0.375306
## Foods_1_CA_2.l14 -1.031e-01 3.855e-01 -0.267 0.789177
## Foods_2_CA_2.l14 9.268e-04 2.818e-01 0.003 0.997376
## Foods_3_CA_2.l14 1.369e-01 7.481e-02 1.830 0.067460 .
## Foods_1_CA_3.l14 -1.809e-01 2.307e-01 -0.784 0.433076
## Foods_2_CA_3.l14 5.051e-02 1.159e-01 0.436 0.662981
## Foods_3_CA_3.l14 -3.082e-02 4.348e-02 -0.709 0.478548
## const 5.380e+02 8.641e+01 6.226 5.90e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 258.4 on 1828 degrees of freedom
## Multiple R-Squared: 0.7688, Adjusted R-squared: 0.7529
## F-statistic: 48.25 on 126 and 1828 DF, p-value: < 2.2e-16
##
##
##
## Covariance matrix of residuals:
## Foods_1_CA_1 Foods_2_CA_1 Foods_3_CA_1 Foods_1_CA_2 Foods_2_CA_2
## Foods_1_CA_1 625.3 388.9 2359.5 108.4 180.0
## Foods_2_CA_1 388.9 3061.9 8497.4 123.1 649.1
## Foods_3_CA_1 2359.5 8497.4 41729.6 818.1 2883.4
## Foods_1_CA_2 108.4 123.1 818.1 301.4 163.3
## Foods_2_CA_2 180.0 649.1 2883.4 163.3 977.0
## Foods_3_CA_2 1159.9 3354.9 17323.8 992.5 3088.8
## Foods_1_CA_3 352.7 394.0 2580.2 127.3 239.1
## Foods_2_CA_3 442.3 2214.0 7587.9 184.1 971.7
## Foods_3_CA_3 2653.8 7377.7 36724.1 930.5 3388.2
## Foods_3_CA_2 Foods_1_CA_3 Foods_2_CA_3 Foods_3_CA_3
## Foods_1_CA_1 1159.9 352.7 442.3 2653.8
## Foods_2_CA_1 3354.9 394.0 2214.0 7377.7
## Foods_3_CA_1 17323.8 2580.2 7587.9 36724.1
## Foods_1_CA_2 992.5 127.3 184.1 930.5
## Foods_2_CA_2 3088.8 239.1 971.7 3388.2
## Foods_3_CA_2 19159.2 1409.2 4413.0 20621.9
## Foods_1_CA_3 1409.2 959.7 673.9 3878.7
## Foods_2_CA_3 4413.0 673.9 6221.8 14407.4
## Foods_3_CA_3 20621.9 3878.7 14407.4 66762.4
##
## Correlation matrix of residuals:
## Foods_1_CA_1 Foods_2_CA_1 Foods_3_CA_1 Foods_1_CA_2 Foods_2_CA_2
## Foods_1_CA_1 1.0000 0.2811 0.4619 0.2497 0.2303
## Foods_2_CA_1 0.2811 1.0000 0.7517 0.1281 0.3753
## Foods_3_CA_1 0.4619 0.7517 1.0000 0.2307 0.4516
## Foods_1_CA_2 0.2497 0.1281 0.2307 1.0000 0.3009
## Foods_2_CA_2 0.2303 0.3753 0.4516 0.3009 1.0000
## Foods_3_CA_2 0.3351 0.4380 0.6127 0.4130 0.7139
## Foods_1_CA_3 0.4552 0.2298 0.4077 0.2366 0.2469
## Foods_2_CA_3 0.2242 0.5073 0.4709 0.1344 0.3941
## Foods_3_CA_3 0.4107 0.5160 0.6958 0.2074 0.4195
## Foods_3_CA_2 Foods_1_CA_3 Foods_2_CA_3 Foods_3_CA_3
## Foods_1_CA_1 0.3351 0.4552 0.2242 0.4107
## Foods_2_CA_1 0.4380 0.2298 0.5073 0.5160
## Foods_3_CA_1 0.6127 0.4077 0.4709 0.6958
## Foods_1_CA_2 0.4130 0.2366 0.1344 0.2074
## Foods_2_CA_2 0.7139 0.2469 0.3941 0.4195
## Foods_3_CA_2 1.0000 0.3286 0.4042 0.5766
## Foods_1_CA_3 0.3286 1.0000 0.2758 0.4846
## Foods_2_CA_3 0.4042 0.2758 1.0000 0.7069
## Foods_3_CA_3 0.5766 0.4846 0.7069 1.0000Serial_food <- serial.test(Model_food, lags.pt = 5, type = "PT.asymptotic")## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs produced
## Warning in pchisq(STATISTIC, df = PARAMETER): NaNs producedSerial_food##
## Portmanteau Test (asymptotic)
##
## data: Residuals of VAR object Model_food
## Chi-squared = 22.899, df = -729, p-value = NAArch_food <- arch.test(Model_food, lags.multi = 15, multivariate.only = TRUE)
Arch_food##
## ARCH (multivariate)
##
## data: Residuals of VAR object Model_food
## Chi-squared = 34577, df = 30375, p-value < 2.2e-16Norm_food <- normality.test(Model_food, multivariate.only = TRUE)
Norm_food## $JB
##
## JB-Test (multivariate)
##
## data: Residuals of VAR object Model_food
## Chi-squared = 21560, df = 18, p-value < 2.2e-16
##
##
## $Skewness
##
## Skewness only (multivariate)
##
## data: Residuals of VAR object Model_food
## Chi-squared = 544.71, df = 9, p-value < 2.2e-16
##
##
## $Kurtosis
##
## Kurtosis only (multivariate)
##
## data: Residuals of VAR object Model_food
## Chi-squared = 21015, df = 9, p-value < 2.2e-16Stability_food <- stability(Model_food, type = "OLS-CUSUM")
forecast <- predict(Model_food, n.ahead = 28, ci = 0.95)
result_food = forecast$fcst$Foods_1_CA_1+forecast$fcst$Foods_2_CA_1+forecast$fcst$Foods_3_CA_1+forecast$fcst$Foods_1_CA_2+forecast$fcst$Foods_2_CA_2+forecast$fcst$Foods_3_CA_2+forecast$fcst$Foods_1_CA_3+forecast$fcst$Foods_2_CA_3+forecast$fcst$Foods_3_CA_3
print(result_food)## fcst lower upper CI
## [1,] 6853.097 5206.933 8499.260 1646.163
## [2,] 6095.410 4323.722 7867.099 1771.688
## [3,] 5991.590 4181.520 7801.659 1810.069
## [4,] 6082.304 4249.322 7915.286 1832.982
## [5,] 6997.846 5139.503 8856.189 1858.343
## [6,] 8684.472 6797.915 10571.030 1886.557
## [7,] 8762.754 6853.508 10672.001 1909.246
## [8,] 7273.472 5269.349 9277.594 2004.122
## [9,] 6466.982 4418.366 8515.598 2048.616
## [10,] 6451.534 4388.342 8514.727 2063.193
## [11,] 6594.941 4520.638 8669.245 2074.304
## [12,] 7399.392 5309.619 9489.164 2089.773
## [13,] 8743.440 6639.858 10847.023 2103.582
## [14,] 8913.126 6795.359 11030.893 2117.767
## [15,] 7681.853 5483.189 9880.518 2198.664
## [16,] 6779.767 4541.426 9018.109 2238.341
## [17,] 6564.983 4312.790 8817.176 2252.193
## [18,] 6611.102 4347.035 8875.170 2264.067
## [19,] 7402.673 5128.091 9677.255 2274.582
## [20,] 8684.176 6401.043 10967.310 2283.133
## [21,] 8811.487 6519.094 11103.880 2292.393
## [22,] 7684.652 5344.645 10024.658 2340.006
## [23,] 6774.228 4404.813 9143.642 2369.415
## [24,] 6508.667 4131.761 8885.573 2376.906
## [25,] 6548.752 4165.218 8932.286 2383.534
## [26,] 7325.274 4936.124 9714.425 2389.151
## [27,] 8525.947 6131.898 10919.995 2394.049
## [28,] 8694.020 6290.291 11097.750 2403.729Consider a large VAR model involving all variables.
We input all 18 variables to build a large VAR model and get forecasts for different variables.
v_large <- cbind(Hobbies_CA_1, Hobbies_CA_2, Hobbies_CA_3, Household_1_CA_1, Household_2_CA_1, Household_1_CA_2, Household_2_CA_2, Household_1_CA_3, Household_2_CA_3, Foods_1_CA_1, Foods_2_CA_1, Foods_3_CA_1, Foods_1_CA_2, Foods_2_CA_2, Foods_3_CA_2, Foods_1_CA_3, Foods_2_CA_3, Foods_3_CA_3)
colnames(v_large) <- cbind("Hobbies_CA_1", "Hobbies_CA_2", "Hobbies_CA_3", "Household_1_CA_1", "Household_2_CA_1", "Household_1_CA_2", "Household_2_CA_2", "Household_1_CA_3", "Household_2_CA_3", "Foods_1_CA_1", "Foods_2_CA_1", "Foods_3_CA_1", "Foods_1_CA_2", "Foods_2_CA_2", "Foods_3_CA_2", "Foods_1_CA_3", "Foods_2_CA_3", "Foods_3_CA_3")
lagselect <- VARselect(v_large, lag.max = 60, type = "const")
lagselect$selection## AIC(n) HQ(n) SC(n) FPE(n)
## 7 7 1 7Model_large <- VAR(v_large, p = 7, type = "const", season = NULL, exog = NULL)
summary(Model_large)##
## VAR Estimation Results:
## =========================
## Endogenous variables: Hobbies_CA_1, Hobbies_CA_2, Hobbies_CA_3, Household_1_CA_1, Household_2_CA_1, Household_1_CA_2, Household_2_CA_2, Household_1_CA_3, Household_2_CA_3, Foods_1_CA_1, Foods_2_CA_1, Foods_3_CA_1, Foods_1_CA_2, Foods_2_CA_2, Foods_3_CA_2, Foods_1_CA_3, Foods_2_CA_3, Foods_3_CA_3
## Deterministic variables: const
## Sample size: 1962
## Log Likelihood: -177391.55
## Roots of the characteristic polynomial:
## 0.9985 0.991 0.991 0.9907 0.9804 0.9664 0.9664 0.9577 0.9577 0.9505 0.9357 0.9357 0.9204 0.9204 0.8995 0.8995 0.8655 0.8655 0.8453 0.8453 0.8387 0.8387 0.8362 0.8362 0.832 0.832 0.8243 0.8243 0.8077 0.8077 0.7981 0.7981 0.7935 0.7935 0.7868 0.7868 0.7833 0.7833 0.7793 0.7793 0.7731 0.7731 0.7668 0.7668 0.7636 0.7636 0.7564 0.7564 0.7535 0.7535 0.7493 0.7493 0.7486 0.7486 0.7435 0.7435 0.7434 0.7434 0.7406 0.7406 0.7403 0.7403 0.7343 0.7343 0.7295 0.728 0.728 0.7279 0.7279 0.7262 0.7262 0.7257 0.7257 0.7216 0.7216 0.7203 0.7203 0.7051 0.7051 0.7008 0.6984 0.6984 0.6948 0.6948 0.688 0.688 0.6864 0.6864 0.6825 0.6825 0.6778 0.6725 0.6725 0.6722 0.6722 0.6708 0.6708 0.6663 0.6632 0.6632 0.6616 0.6616 0.6592 0.6592 0.6585 0.6585 0.6482 0.6482 0.6442 0.6442 0.6296 0.6296 0.6148 0.6148 0.6113 0.6113 0.6076 0.6076 0.5894 0.5894 0.4697 0.4697 0.457 0.3723 0.3723 0.1576
## Call:
## VAR(y = v_large, p = 7, type = "const", exogen = NULL)
##
##
## Estimation results for equation Hobbies_CA_1:
## =============================================
## Hobbies_CA_1 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 1.310e-01 2.586e-02 5.067 4.44e-07 ***
## Hobbies_CA_2.l1 5.391e-02 3.305e-02 1.631 0.102995
## Hobbies_CA_3.l1 7.856e-02 2.456e-02 3.198 0.001406 **
## Household_1_CA_1.l1 4.636e-02 6.128e-02 0.756 0.449492
## Household_2_CA_1.l1 1.397e-01 1.009e-01 1.385 0.166255
## Household_1_CA_2.l1 -1.579e-02 6.140e-02 -0.257 0.797058
## Household_2_CA_2.l1 3.412e-02 7.666e-02 0.445 0.656318
## Household_1_CA_3.l1 3.701e-02 3.950e-02 0.937 0.348929
## Household_2_CA_3.l1 1.570e-02 6.889e-02 0.228 0.819792
## Foods_1_CA_1.l1 3.783e-02 7.005e-02 0.540 0.589291
## Foods_2_CA_1.l1 -6.225e-02 4.182e-02 -1.489 0.136784
## Foods_3_CA_1.l1 -1.629e-02 1.443e-02 -1.129 0.259022
## Foods_1_CA_2.l1 5.177e-02 8.800e-02 0.588 0.556413
## Foods_2_CA_2.l1 -4.841e-02 6.593e-02 -0.734 0.462867
## Foods_3_CA_2.l1 -4.045e-03 1.920e-02 -0.211 0.833127
## Foods_1_CA_3.l1 8.307e-02 5.603e-02 1.483 0.138356
## Foods_2_CA_3.l1 -3.130e-02 2.763e-02 -1.133 0.257551
## Foods_3_CA_3.l1 -7.589e-03 1.086e-02 -0.699 0.484915
## Hobbies_CA_1.l2 6.511e-02 2.606e-02 2.499 0.012538 *
## Hobbies_CA_2.l2 4.914e-03 3.285e-02 0.150 0.881102
## Hobbies_CA_3.l2 9.003e-02 2.480e-02 3.630 0.000291 ***
## Household_1_CA_1.l2 3.176e-02 6.213e-02 0.511 0.609299
## Household_2_CA_1.l2 7.311e-02 1.015e-01 0.720 0.471411
## Household_1_CA_2.l2 -1.247e-01 6.290e-02 -1.983 0.047544 *
## Household_2_CA_2.l2 4.332e-02 7.727e-02 0.561 0.575114
## Household_1_CA_3.l2 -3.485e-02 4.098e-02 -0.850 0.395179
## Household_2_CA_3.l2 -9.464e-02 6.916e-02 -1.369 0.171321
## Foods_1_CA_1.l2 -4.468e-02 7.276e-02 -0.614 0.539296
## Foods_2_CA_1.l2 7.374e-02 4.332e-02 1.702 0.088862 .
## Foods_3_CA_1.l2 -4.289e-02 1.503e-02 -2.853 0.004375 **
## Foods_1_CA_2.l2 -8.528e-02 9.051e-02 -0.942 0.346182
## Foods_2_CA_2.l2 2.420e-03 6.726e-02 0.036 0.971298
## Foods_3_CA_2.l2 1.760e-03 1.976e-02 0.089 0.929059
## Foods_1_CA_3.l2 1.948e-02 5.850e-02 0.333 0.739143
## Foods_2_CA_3.l2 8.823e-03 2.957e-02 0.298 0.765462
## Foods_3_CA_3.l2 7.751e-03 1.156e-02 0.670 0.502641
## Hobbies_CA_1.l3 2.100e-02 2.608e-02 0.805 0.420728
## Hobbies_CA_2.l3 3.280e-02 3.290e-02 0.997 0.318917
## Hobbies_CA_3.l3 2.464e-02 2.488e-02 0.990 0.322087
## Household_1_CA_1.l3 1.216e-02 6.195e-02 0.196 0.844389
## Household_2_CA_1.l3 2.329e-02 1.014e-01 0.230 0.818303
## Household_1_CA_2.l3 6.493e-03 6.344e-02 0.102 0.918488
## Household_2_CA_2.l3 -1.961e-02 7.768e-02 -0.252 0.800686
## Household_1_CA_3.l3 -2.625e-02 4.128e-02 -0.636 0.524881
## Household_2_CA_3.l3 6.009e-02 6.944e-02 0.865 0.386919
## Foods_1_CA_1.l3 -9.466e-02 7.291e-02 -1.298 0.194365
## Foods_2_CA_1.l3 -4.994e-03 4.362e-02 -0.114 0.908859
## Foods_3_CA_1.l3 2.030e-03 1.512e-02 0.134 0.893198
## Foods_1_CA_2.l3 1.886e-01 9.032e-02 2.088 0.036961 *
## Foods_2_CA_2.l3 -3.210e-03 6.738e-02 -0.048 0.962010
## Foods_3_CA_2.l3 -2.679e-02 1.994e-02 -1.343 0.179397
## Foods_1_CA_3.l3 1.365e-02 5.836e-02 0.234 0.815061
## Foods_2_CA_3.l3 5.253e-03 2.960e-02 0.177 0.859136
## Foods_3_CA_3.l3 7.587e-03 1.160e-02 0.654 0.513194
## Hobbies_CA_1.l4 3.454e-02 2.609e-02 1.324 0.185746
## Hobbies_CA_2.l4 1.410e-02 3.301e-02 0.427 0.669259
## Hobbies_CA_3.l4 6.586e-02 2.464e-02 2.673 0.007577 **
## Household_1_CA_1.l4 -1.013e-01 6.198e-02 -1.634 0.102425
## Household_2_CA_1.l4 -1.422e-01 1.010e-01 -1.408 0.159441
## Household_1_CA_2.l4 -3.145e-02 6.381e-02 -0.493 0.622158
## Household_2_CA_2.l4 -2.311e-01 7.794e-02 -2.965 0.003062 **
## Household_1_CA_3.l4 5.546e-04 4.108e-02 0.014 0.989230
## Household_2_CA_3.l4 6.417e-02 6.956e-02 0.923 0.356338
## Foods_1_CA_1.l4 -9.213e-02 7.283e-02 -1.265 0.206011
## Foods_2_CA_1.l4 -7.990e-02 4.335e-02 -1.843 0.065490 .
## Foods_3_CA_1.l4 3.190e-02 1.512e-02 2.109 0.035040 *
## Foods_1_CA_2.l4 1.344e-01 9.060e-02 1.483 0.138208
## Foods_2_CA_2.l4 -2.952e-02 6.737e-02 -0.438 0.661359
## Foods_3_CA_2.l4 1.074e-02 1.987e-02 0.540 0.588978
## Foods_1_CA_3.l4 -1.172e-01 5.810e-02 -2.017 0.043794 *
## Foods_2_CA_3.l4 3.622e-02 2.959e-02 1.224 0.221113
## Foods_3_CA_3.l4 3.372e-03 1.164e-02 0.290 0.771979
## Hobbies_CA_1.l5 1.643e-03 2.610e-02 0.063 0.949805
## Hobbies_CA_2.l5 8.448e-02 3.289e-02 2.568 0.010300 *
## Hobbies_CA_3.l5 -1.379e-02 2.487e-02 -0.554 0.579315
## Household_1_CA_1.l5 1.053e-01 6.186e-02 1.702 0.088954 .
## Household_2_CA_1.l5 -2.085e-01 1.012e-01 -2.059 0.039587 *
## Household_1_CA_2.l5 -1.358e-01 6.378e-02 -2.129 0.033403 *
## Household_2_CA_2.l5 -1.118e-01 7.777e-02 -1.438 0.150698
## Household_1_CA_3.l5 4.438e-02 4.129e-02 1.075 0.282587
## Household_2_CA_3.l5 1.658e-02 6.967e-02 0.238 0.811906
## Foods_1_CA_1.l5 1.313e-01 7.313e-02 1.795 0.072840 .
## Foods_2_CA_1.l5 6.662e-02 4.349e-02 1.532 0.125755
## Foods_3_CA_1.l5 -3.271e-02 1.515e-02 -2.159 0.030973 *
## Foods_1_CA_2.l5 1.730e-01 9.118e-02 1.898 0.057896 .
## Foods_2_CA_2.l5 -1.211e-02 6.741e-02 -0.180 0.857510
## Foods_3_CA_2.l5 -1.835e-02 1.991e-02 -0.921 0.357003
## Foods_1_CA_3.l5 3.116e-02 5.832e-02 0.534 0.593138
## Foods_2_CA_3.l5 -1.809e-02 2.962e-02 -0.611 0.541472
## Foods_3_CA_3.l5 1.222e-03 1.164e-02 0.105 0.916378
## Hobbies_CA_1.l6 -2.535e-02 2.611e-02 -0.971 0.331702
## Hobbies_CA_2.l6 -4.195e-02 3.289e-02 -1.276 0.202279
## Hobbies_CA_3.l6 -3.318e-03 2.488e-02 -0.133 0.893937
## Household_1_CA_1.l6 -2.158e-02 6.181e-02 -0.349 0.727066
## Household_2_CA_1.l6 1.841e-01 1.010e-01 1.824 0.068324 .
## Household_1_CA_2.l6 -1.023e-02 6.362e-02 -0.161 0.872283
## Household_2_CA_2.l6 1.278e-01 7.795e-02 1.640 0.101203
## Household_1_CA_3.l6 1.108e-02 4.124e-02 0.269 0.788140
## Household_2_CA_3.l6 -1.883e-03 6.953e-02 -0.027 0.978393
## Foods_1_CA_1.l6 1.239e-02 7.281e-02 0.170 0.864842
## Foods_2_CA_1.l6 -7.690e-02 4.336e-02 -1.773 0.076314 .
## Foods_3_CA_1.l6 5.056e-02 1.518e-02 3.331 0.000884 ***
## Foods_1_CA_2.l6 -1.430e-01 9.061e-02 -1.578 0.114665
## Foods_2_CA_2.l6 9.660e-02 6.721e-02 1.437 0.150788
## Foods_3_CA_2.l6 2.641e-03 1.990e-02 0.133 0.894452
## Foods_1_CA_3.l6 -1.410e-01 5.823e-02 -2.422 0.015518 *
## Foods_2_CA_3.l6 -2.109e-02 2.946e-02 -0.716 0.474160
## Foods_3_CA_3.l6 3.323e-03 1.152e-02 0.288 0.773045
## Hobbies_CA_1.l7 4.347e-02 2.601e-02 1.671 0.094815 .
## Hobbies_CA_2.l7 7.005e-02 3.255e-02 2.152 0.031522 *
## Hobbies_CA_3.l7 8.622e-03 2.475e-02 0.348 0.727587
## Household_1_CA_1.l7 6.513e-02 6.081e-02 1.071 0.284273
## Household_2_CA_1.l7 6.369e-02 1.009e-01 0.631 0.527957
## Household_1_CA_2.l7 4.442e-02 6.135e-02 0.724 0.469178
## Household_2_CA_2.l7 2.009e-01 7.658e-02 2.624 0.008773 **
## Household_1_CA_3.l7 -3.230e-02 3.933e-02 -0.821 0.411692
## Household_2_CA_3.l7 4.772e-02 6.952e-02 0.687 0.492481
## Foods_1_CA_1.l7 1.164e-02 6.983e-02 0.167 0.867646
## Foods_2_CA_1.l7 6.800e-02 4.132e-02 1.646 0.100002
## Foods_3_CA_1.l7 -4.104e-03 1.467e-02 -0.280 0.779761
## Foods_1_CA_2.l7 3.384e-02 8.891e-02 0.381 0.703551
## Foods_2_CA_2.l7 2.091e-02 6.593e-02 0.317 0.751136
## Foods_3_CA_2.l7 -2.975e-03 1.930e-02 -0.154 0.877481
## Foods_1_CA_3.l7 -3.449e-02 5.549e-02 -0.621 0.534357
## Foods_2_CA_3.l7 7.389e-03 2.751e-02 0.269 0.788275
## Foods_3_CA_3.l7 -7.805e-03 1.080e-02 -0.723 0.470040
## const 1.357e+02 2.131e+01 6.366 2.44e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 61.74 on 1835 degrees of freedom
## Multiple R-Squared: 0.5455, Adjusted R-squared: 0.5143
## F-statistic: 17.48 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Hobbies_CA_2:
## =============================================
## Hobbies_CA_2 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0912665 0.0203615 4.482 7.84e-06 ***
## Hobbies_CA_2.l1 0.0370386 0.0260238 1.423 0.154831
## Hobbies_CA_3.l1 0.0437859 0.0193437 2.264 0.023717 *
## Household_1_CA_1.l1 -0.0221422 0.0482593 -0.459 0.646419
## Household_2_CA_1.l1 -0.0441050 0.0794209 -0.555 0.578734
## Household_1_CA_2.l1 0.0586854 0.0483547 1.214 0.225040
## Household_2_CA_2.l1 0.0327325 0.0603700 0.542 0.587749
## Household_1_CA_3.l1 -0.0018470 0.0311060 -0.059 0.952657
## Household_2_CA_3.l1 -0.0253224 0.0542500 -0.467 0.640718
## Foods_1_CA_1.l1 -0.0261096 0.0551659 -0.473 0.636061
## Foods_2_CA_1.l1 -0.0085564 0.0329322 -0.260 0.795034
## Foods_3_CA_1.l1 -0.0089888 0.0113610 -0.791 0.428932
## Foods_1_CA_2.l1 -0.0232221 0.0692997 -0.335 0.737590
## Foods_2_CA_2.l1 0.0552591 0.0519193 1.064 0.287321
## Foods_3_CA_2.l1 0.0026848 0.0151164 0.178 0.859049
## Foods_1_CA_3.l1 0.0549489 0.0441219 1.245 0.213148
## Foods_2_CA_3.l1 0.0046328 0.0217614 0.213 0.831438
## Foods_3_CA_3.l1 -0.0153203 0.0085551 -1.791 0.073491 .
## Hobbies_CA_1.l2 0.0591394 0.0205182 2.882 0.003994 **
## Hobbies_CA_2.l2 0.0286904 0.0258682 1.109 0.267534
## Hobbies_CA_3.l2 0.0277292 0.0195279 1.420 0.155784
## Household_1_CA_1.l2 -0.0369976 0.0489255 -0.756 0.449624
## Household_2_CA_1.l2 -0.0140918 0.0799269 -0.176 0.860071
## Household_1_CA_2.l2 -0.0500293 0.0495298 -1.010 0.312587
## Household_2_CA_2.l2 -0.0014435 0.0608480 -0.024 0.981076
## Household_1_CA_3.l2 -0.0084811 0.0322728 -0.263 0.792740
## Household_2_CA_3.l2 -0.0334034 0.0544603 -0.613 0.539719
## Foods_1_CA_1.l2 -0.0095804 0.0572994 -0.167 0.867233
## Foods_2_CA_1.l2 -0.0305553 0.0341134 -0.896 0.370532
## Foods_3_CA_1.l2 -0.0040647 0.0118367 -0.343 0.731340
## Foods_1_CA_2.l2 -0.1302231 0.0712724 -1.827 0.067844 .
## Foods_2_CA_2.l2 -0.0640065 0.0529668 -1.208 0.227039
## Foods_3_CA_2.l2 0.0065471 0.0155637 0.421 0.674049
## Foods_1_CA_3.l2 0.0220936 0.0460709 0.480 0.631600
## Foods_2_CA_3.l2 -0.0128871 0.0232879 -0.553 0.580070
## Foods_3_CA_3.l2 0.0023550 0.0091039 0.259 0.795912
## Hobbies_CA_1.l3 0.0622275 0.0205386 3.030 0.002481 **
## Hobbies_CA_2.l3 0.0345162 0.0259051 1.332 0.182891
## Hobbies_CA_3.l3 0.0080783 0.0195891 0.412 0.680104
## Household_1_CA_1.l3 -0.0276440 0.0487819 -0.567 0.570997
## Household_2_CA_1.l3 -0.0591126 0.0798153 -0.741 0.459020
## Household_1_CA_2.l3 0.0674785 0.0499579 1.351 0.176956
## Household_2_CA_2.l3 -0.0345689 0.0611728 -0.565 0.572073
## Household_1_CA_3.l3 -0.0394232 0.0325093 -1.213 0.225409
## Household_2_CA_3.l3 0.0447175 0.0546801 0.818 0.413576
## Foods_1_CA_1.l3 -0.0726498 0.0574155 -1.265 0.205912
## Foods_2_CA_1.l3 -0.0050958 0.0343477 -0.148 0.882076
## Foods_3_CA_1.l3 -0.0051601 0.0119056 -0.433 0.664764
## Foods_1_CA_2.l3 -0.0079198 0.0711275 -0.111 0.911354
## Foods_2_CA_2.l3 0.0207342 0.0530631 0.391 0.696030
## Foods_3_CA_2.l3 0.0063516 0.0157059 0.404 0.685962
## Foods_1_CA_3.l3 0.0170256 0.0459561 0.370 0.711071
## Foods_2_CA_3.l3 -0.0023271 0.0233059 -0.100 0.920475
## Foods_3_CA_3.l3 0.0113593 0.0091360 1.243 0.213896
## Hobbies_CA_1.l4 0.0189457 0.0205456 0.922 0.356581
## Hobbies_CA_2.l4 0.0244332 0.0259931 0.940 0.347348
## Hobbies_CA_3.l4 0.0367513 0.0194017 1.894 0.058351 .
## Household_1_CA_1.l4 -0.0930129 0.0488098 -1.906 0.056856 .
## Household_2_CA_1.l4 -0.0444258 0.0795409 -0.559 0.576552
## Household_1_CA_2.l4 0.0251355 0.0502492 0.500 0.616983
## Household_2_CA_2.l4 -0.0303554 0.0613770 -0.495 0.620961
## Household_1_CA_3.l4 -0.0068856 0.0323514 -0.213 0.831477
## Household_2_CA_3.l4 0.0067952 0.0547740 0.124 0.901282
## Foods_1_CA_1.l4 -0.0633225 0.0573525 -1.104 0.269697
## Foods_2_CA_1.l4 0.0327520 0.0341404 0.959 0.337518
## Foods_3_CA_1.l4 0.0020787 0.0119103 0.175 0.861466
## Foods_1_CA_2.l4 0.1093658 0.0713494 1.533 0.125493
## Foods_2_CA_2.l4 -0.0183011 0.0530544 -0.345 0.730172
## Foods_3_CA_2.l4 -0.0087295 0.0156452 -0.558 0.576936
## Foods_1_CA_3.l4 -0.0185582 0.0457534 -0.406 0.685074
## Foods_2_CA_3.l4 -0.0102114 0.0233040 -0.438 0.661306
## Foods_3_CA_3.l4 0.0058612 0.0091631 0.640 0.522476
## Hobbies_CA_1.l5 0.0044793 0.0205556 0.218 0.827521
## Hobbies_CA_2.l5 0.0500016 0.0259022 1.930 0.053711 .
## Hobbies_CA_3.l5 0.0419391 0.0195837 2.142 0.032362 *
## Household_1_CA_1.l5 -0.0310317 0.0487129 -0.637 0.524182
## Household_2_CA_1.l5 -0.0999937 0.0797276 -1.254 0.209932
## Household_1_CA_2.l5 -0.0247724 0.0502240 -0.493 0.621903
## Household_2_CA_2.l5 -0.0432704 0.0612449 -0.707 0.479958
## Household_1_CA_3.l5 0.0728936 0.0325141 2.242 0.025086 *
## Household_2_CA_3.l5 -0.0276098 0.0548610 -0.503 0.614836
## Foods_1_CA_1.l5 0.0358543 0.0575884 0.623 0.533628
## Foods_2_CA_1.l5 0.0298188 0.0342516 0.871 0.384096
## Foods_3_CA_1.l5 -0.0215484 0.0119290 -1.806 0.071022 .
## Foods_1_CA_2.l5 0.0368055 0.0718058 0.513 0.608314
## Foods_2_CA_2.l5 -0.0247501 0.0530873 -0.466 0.641116
## Foods_3_CA_2.l5 -0.0256868 0.0156823 -1.638 0.101605
## Foods_1_CA_3.l5 0.0974930 0.0459245 2.123 0.033896 *
## Foods_2_CA_3.l5 -0.0132061 0.0233279 -0.566 0.571390
## Foods_3_CA_3.l5 -0.0012538 0.0091635 -0.137 0.891181
## Hobbies_CA_1.l6 -0.0412769 0.0205609 -2.008 0.044838 *
## Hobbies_CA_2.l6 0.0286420 0.0259008 1.106 0.268943
## Hobbies_CA_3.l6 -0.0178020 0.0195941 -0.909 0.363713
## Household_1_CA_1.l6 0.0278005 0.0486726 0.571 0.567952
## Household_2_CA_1.l6 -0.0074064 0.0794996 -0.093 0.925784
## Household_1_CA_2.l6 0.0649266 0.0501008 1.296 0.195166
## Household_2_CA_2.l6 0.0885401 0.0613825 1.442 0.149351
## Household_1_CA_3.l6 -0.0904227 0.0324728 -2.785 0.005415 **
## Household_2_CA_3.l6 0.1754787 0.0547554 3.205 0.001375 **
## Foods_1_CA_1.l6 -0.0254137 0.0573356 -0.443 0.657641
## Foods_2_CA_1.l6 -0.0228223 0.0341458 -0.668 0.503975
## Foods_3_CA_1.l6 0.0198652 0.0119550 1.662 0.096751 .
## Foods_1_CA_2.l6 -0.0395510 0.0713567 -0.554 0.579461
## Foods_2_CA_2.l6 -0.0716114 0.0529261 -1.353 0.176208
## Foods_3_CA_2.l6 0.0417162 0.0156748 2.661 0.007851 **
## Foods_1_CA_3.l6 0.0097415 0.0458519 0.212 0.831775
## Foods_2_CA_3.l6 -0.0087725 0.0231954 -0.378 0.705326
## Foods_3_CA_3.l6 -0.0006592 0.0090715 -0.073 0.942077
## Hobbies_CA_1.l7 -0.0066322 0.0204796 -0.324 0.746093
## Hobbies_CA_2.l7 0.0909278 0.0256322 3.547 0.000399 ***
## Hobbies_CA_3.l7 -0.0078272 0.0194879 -0.402 0.687994
## Household_1_CA_1.l7 0.0220037 0.0478852 0.460 0.645923
## Household_2_CA_1.l7 -0.0470875 0.0794567 -0.593 0.553509
## Household_1_CA_2.l7 0.1492857 0.0483127 3.090 0.002032 **
## Household_2_CA_2.l7 0.1652618 0.0603068 2.740 0.006197 **
## Household_1_CA_3.l7 -0.0324299 0.0309728 -1.047 0.295217
## Household_2_CA_3.l7 -0.0271478 0.0547440 -0.496 0.620021
## Foods_1_CA_1.l7 0.0007494 0.0549866 0.014 0.989128
## Foods_2_CA_1.l7 0.0414324 0.0325406 1.273 0.203089
## Foods_3_CA_1.l7 0.0110333 0.0115550 0.955 0.339779
## Foods_1_CA_2.l7 0.1055105 0.0700140 1.507 0.131985
## Foods_2_CA_2.l7 0.0441702 0.0519190 0.851 0.395019
## Foods_3_CA_2.l7 0.0114123 0.0151950 0.751 0.452714
## Foods_1_CA_3.l7 -0.0674932 0.0437005 -1.544 0.122652
## Foods_2_CA_3.l7 0.0002589 0.0216629 0.012 0.990466
## Foods_3_CA_3.l7 -0.0044070 0.0085064 -0.518 0.604461
## const 55.0443617 16.7836204 3.280 0.001059 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 48.62 on 1835 degrees of freedom
## Multiple R-Squared: 0.5884, Adjusted R-squared: 0.5602
## F-statistic: 20.82 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Hobbies_CA_3:
## =============================================
## Hobbies_CA_3 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.1120749 0.0273920 4.092 4.47e-05 ***
## Hobbies_CA_2.l1 -0.0260434 0.0350093 -0.744 0.457032
## Hobbies_CA_3.l1 0.0928469 0.0260227 3.568 0.000369 ***
## Household_1_CA_1.l1 0.1124210 0.0649224 1.732 0.083509 .
## Household_2_CA_1.l1 0.1457465 0.1068435 1.364 0.172699
## Household_1_CA_2.l1 -0.0100456 0.0650507 -0.154 0.877290
## Household_2_CA_2.l1 0.0790383 0.0812147 0.973 0.330582
## Household_1_CA_3.l1 0.0908288 0.0418463 2.171 0.030094 *
## Household_2_CA_3.l1 -0.0224539 0.0729816 -0.308 0.758372
## Foods_1_CA_1.l1 0.0977953 0.0742137 1.318 0.187751
## Foods_2_CA_1.l1 0.0137203 0.0443031 0.310 0.756830
## Foods_3_CA_1.l1 -0.0478596 0.0152837 -3.131 0.001767 **
## Foods_1_CA_2.l1 -0.1150656 0.0932276 -1.234 0.217270
## Foods_2_CA_2.l1 0.0639875 0.0698462 0.916 0.359724
## Foods_3_CA_2.l1 0.0055967 0.0203358 0.275 0.783183
## Foods_1_CA_3.l1 -0.0120241 0.0593564 -0.203 0.839490
## Foods_2_CA_3.l1 -0.0506618 0.0292753 -1.731 0.083703 .
## Foods_3_CA_3.l1 0.0078231 0.0115090 0.680 0.496753
## Hobbies_CA_1.l2 0.0964997 0.0276027 3.496 0.000483 ***
## Hobbies_CA_2.l2 0.0380122 0.0348001 1.092 0.274843
## Hobbies_CA_3.l2 0.0525602 0.0262705 2.001 0.045569 *
## Household_1_CA_1.l2 0.0441307 0.0658186 0.670 0.502629
## Household_2_CA_1.l2 0.0726557 0.1075243 0.676 0.499307
## Household_1_CA_2.l2 -0.1598724 0.0666315 -2.399 0.016523 *
## Household_2_CA_2.l2 -0.1348883 0.0818577 -1.648 0.099557 .
## Household_1_CA_3.l2 -0.0693944 0.0434160 -1.598 0.110135
## Household_2_CA_3.l2 0.0045696 0.0732645 0.062 0.950274
## Foods_1_CA_1.l2 0.0455334 0.0770839 0.591 0.554794
## Foods_2_CA_1.l2 0.0416994 0.0458921 0.909 0.363661
## Foods_3_CA_1.l2 -0.0308194 0.0159237 -1.935 0.053090 .
## Foods_1_CA_2.l2 -0.0823497 0.0958815 -0.859 0.390524
## Foods_2_CA_2.l2 -0.0730642 0.0712553 -1.025 0.305316
## Foods_3_CA_2.l2 0.0319144 0.0209376 1.524 0.127616
## Foods_1_CA_3.l2 0.0042760 0.0619784 0.069 0.945004
## Foods_2_CA_3.l2 0.0326184 0.0313287 1.041 0.297936
## Foods_3_CA_3.l2 0.0007686 0.0122474 0.063 0.949966
## Hobbies_CA_1.l3 0.0254886 0.0276302 0.922 0.356393
## Hobbies_CA_2.l3 0.0073386 0.0348496 0.211 0.833240
## Hobbies_CA_3.l3 0.0268148 0.0263529 1.018 0.309035
## Household_1_CA_1.l3 0.0601866 0.0656254 0.917 0.359198
## Household_2_CA_1.l3 0.1465316 0.1073741 1.365 0.172520
## Household_1_CA_2.l3 0.0584468 0.0672075 0.870 0.384607
## Household_2_CA_2.l3 0.0527524 0.0822947 0.641 0.521591
## Household_1_CA_3.l3 0.0330012 0.0437341 0.755 0.450594
## Household_2_CA_3.l3 -0.0859328 0.0735601 -1.168 0.242879
## Foods_1_CA_1.l3 -0.0410278 0.0772401 -0.531 0.595363
## Foods_2_CA_1.l3 0.0474918 0.0462073 1.028 0.304181
## Foods_3_CA_1.l3 -0.0085297 0.0160164 -0.533 0.594405
## Foods_1_CA_2.l3 -0.0029410 0.0956866 -0.031 0.975484
## Foods_2_CA_2.l3 0.0639197 0.0713848 0.895 0.370678
## Foods_3_CA_2.l3 -0.0220630 0.0211289 -1.044 0.296525
## Foods_1_CA_3.l3 -0.0425855 0.0618239 -0.689 0.491024
## Foods_2_CA_3.l3 0.0044732 0.0313530 0.143 0.886564
## Foods_3_CA_3.l3 -0.0123457 0.0122905 -1.004 0.315274
## Hobbies_CA_1.l4 0.0140395 0.0276396 0.508 0.611550
## Hobbies_CA_2.l4 -0.0167809 0.0349681 -0.480 0.631361
## Hobbies_CA_3.l4 0.1568053 0.0261007 6.008 2.26e-09 ***
## Household_1_CA_1.l4 -0.1026217 0.0656630 -1.563 0.118259
## Household_2_CA_1.l4 -0.0075096 0.1070049 -0.070 0.944058
## Household_1_CA_2.l4 0.0580398 0.0675994 0.859 0.390682
## Household_2_CA_2.l4 -0.0538726 0.0825694 -0.652 0.514191
## Household_1_CA_3.l4 -0.0448607 0.0435217 -1.031 0.302786
## Household_2_CA_3.l4 0.0036460 0.0736865 0.049 0.960542
## Foods_1_CA_1.l4 -0.1538079 0.0771553 -1.993 0.046356 *
## Foods_2_CA_1.l4 -0.1035432 0.0459285 -2.254 0.024286 *
## Foods_3_CA_1.l4 0.0350512 0.0160227 2.188 0.028825 *
## Foods_1_CA_2.l4 0.0710710 0.0959850 0.740 0.459129
## Foods_2_CA_2.l4 -0.0240209 0.0713731 -0.337 0.736492
## Foods_3_CA_2.l4 -0.0117926 0.0210472 -0.560 0.575349
## Foods_1_CA_3.l4 0.0370628 0.0615513 0.602 0.547152
## Foods_2_CA_3.l4 -0.0096900 0.0313505 -0.309 0.757290
## Foods_3_CA_3.l4 0.0099631 0.0123269 0.808 0.419056
## Hobbies_CA_1.l5 0.0096437 0.0276531 0.349 0.727325
## Hobbies_CA_2.l5 -0.0077804 0.0348457 -0.223 0.823340
## Hobbies_CA_3.l5 0.0665797 0.0263455 2.527 0.011582 *
## Household_1_CA_1.l5 -0.0287121 0.0655326 -0.438 0.661340
## Household_2_CA_1.l5 0.0386225 0.1072562 0.360 0.718817
## Household_1_CA_2.l5 -0.1319933 0.0675655 -1.954 0.050905 .
## Household_2_CA_2.l5 0.0978821 0.0823917 1.188 0.234984
## Household_1_CA_3.l5 0.0398592 0.0437406 0.911 0.362276
## Household_2_CA_3.l5 -0.0207541 0.0738036 -0.281 0.778583
## Foods_1_CA_1.l5 -0.0513766 0.0774727 -0.663 0.507313
## Foods_2_CA_1.l5 0.1083079 0.0460780 2.351 0.018852 *
## Foods_3_CA_1.l5 -0.0232344 0.0160479 -1.448 0.147840
## Foods_1_CA_2.l5 0.0383768 0.0965991 0.397 0.691208
## Foods_2_CA_2.l5 -0.0973290 0.0714174 -1.363 0.173106
## Foods_3_CA_2.l5 0.0097151 0.0210972 0.460 0.645218
## Foods_1_CA_3.l5 0.0181676 0.0617814 0.294 0.768743
## Foods_2_CA_3.l5 -0.0023041 0.0313826 -0.073 0.941479
## Foods_3_CA_3.l5 -0.0041021 0.0123275 -0.333 0.739354
## Hobbies_CA_1.l6 -0.0064638 0.0276602 -0.234 0.815254
## Hobbies_CA_2.l6 -0.0214553 0.0348439 -0.616 0.538133
## Hobbies_CA_3.l6 0.0450482 0.0263597 1.709 0.087623 .
## Household_1_CA_1.l6 0.0677464 0.0654784 1.035 0.300975
## Household_2_CA_1.l6 0.0002838 0.1069494 0.003 0.997883
## Household_1_CA_2.l6 0.0073081 0.0673997 0.108 0.913667
## Household_2_CA_2.l6 0.0448196 0.0825768 0.543 0.587359
## Household_1_CA_3.l6 0.0719804 0.0436850 1.648 0.099583 .
## Household_2_CA_3.l6 0.0602255 0.0736614 0.818 0.413693
## Foods_1_CA_1.l6 0.0361241 0.0771325 0.468 0.639599
## Foods_2_CA_1.l6 -0.0383531 0.0459357 -0.835 0.403866
## Foods_3_CA_1.l6 0.0224189 0.0160828 1.394 0.163496
## Foods_1_CA_2.l6 0.0388386 0.0959949 0.405 0.685826
## Foods_2_CA_2.l6 0.1113849 0.0712006 1.564 0.117900
## Foods_3_CA_2.l6 -0.0454447 0.0210870 -2.155 0.031283 *
## Foods_1_CA_3.l6 -0.0372216 0.0616837 -0.603 0.546300
## Foods_2_CA_3.l6 -0.0217243 0.0312043 -0.696 0.486394
## Foods_3_CA_3.l6 0.0065454 0.0122037 0.536 0.591782
## Hobbies_CA_1.l7 -0.0498301 0.0275508 -1.809 0.070667 .
## Hobbies_CA_2.l7 0.0036014 0.0344825 0.104 0.916831
## Hobbies_CA_3.l7 0.0523376 0.0262167 1.996 0.046044 *
## Household_1_CA_1.l7 0.1403148 0.0644191 2.178 0.029521 *
## Household_2_CA_1.l7 -0.0697244 0.1068916 -0.652 0.514296
## Household_1_CA_2.l7 0.1716509 0.0649942 2.641 0.008336 **
## Household_2_CA_2.l7 -0.0040766 0.0811296 -0.050 0.959930
## Household_1_CA_3.l7 -0.0516220 0.0416672 -1.239 0.215536
## Household_2_CA_3.l7 -0.0074023 0.0736462 -0.101 0.919949
## Foods_1_CA_1.l7 0.0514858 0.0739725 0.696 0.486509
## Foods_2_CA_1.l7 0.0336969 0.0437763 0.770 0.441546
## Foods_3_CA_1.l7 0.0186990 0.0155447 1.203 0.229163
## Foods_1_CA_2.l7 0.0918289 0.0941885 0.975 0.329715
## Foods_2_CA_2.l7 -0.0593673 0.0698457 -0.850 0.395449
## Foods_3_CA_2.l7 0.0331894 0.0204415 1.624 0.104627
## Foods_1_CA_3.l7 -0.0270741 0.0587895 -0.461 0.645193
## Foods_2_CA_3.l7 -0.0110619 0.0291427 -0.380 0.704303
## Foods_3_CA_3.l7 -0.0091245 0.0114435 -0.797 0.425349
## const 74.7316041 22.5787062 3.310 0.000952 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 65.41 on 1835 degrees of freedom
## Multiple R-Squared: 0.5842, Adjusted R-squared: 0.5556
## F-statistic: 20.46 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_1:
## =================================================
## Household_1_CA_1 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 8.985e-03 1.311e-02 0.685 0.493273
## Hobbies_CA_2.l1 -6.194e-03 1.676e-02 -0.370 0.711717
## Hobbies_CA_3.l1 1.937e-02 1.246e-02 1.555 0.120123
## Household_1_CA_1.l1 2.011e-01 3.108e-02 6.471 1.25e-10 ***
## Household_2_CA_1.l1 1.553e-01 5.115e-02 3.035 0.002435 **
## Household_1_CA_2.l1 1.038e-01 3.114e-02 3.332 0.000878 ***
## Household_2_CA_2.l1 5.149e-03 3.888e-02 0.132 0.894656
## Household_1_CA_3.l1 9.550e-02 2.003e-02 4.767 2.02e-06 ***
## Household_2_CA_3.l1 -5.714e-02 3.494e-02 -1.636 0.102088
## Foods_1_CA_1.l1 4.522e-02 3.553e-02 1.273 0.203185
## Foods_2_CA_1.l1 -3.660e-03 2.121e-02 -0.173 0.863016
## Foods_3_CA_1.l1 -6.614e-03 7.316e-03 -0.904 0.366103
## Foods_1_CA_2.l1 -5.469e-02 4.463e-02 -1.225 0.220576
## Foods_2_CA_2.l1 1.209e-02 3.344e-02 0.362 0.717726
## Foods_3_CA_2.l1 -7.623e-03 9.735e-03 -0.783 0.433696
## Foods_1_CA_3.l1 -3.097e-02 2.841e-02 -1.090 0.275887
## Foods_2_CA_3.l1 6.948e-03 1.401e-02 0.496 0.620126
## Foods_3_CA_3.l1 -1.411e-02 5.509e-03 -2.561 0.010519 *
## Hobbies_CA_1.l2 1.714e-02 1.321e-02 1.297 0.194817
## Hobbies_CA_2.l2 -2.446e-02 1.666e-02 -1.469 0.142132
## Hobbies_CA_3.l2 1.340e-02 1.258e-02 1.065 0.286909
## Household_1_CA_1.l2 1.027e-01 3.151e-02 3.261 0.001132 **
## Household_2_CA_1.l2 -2.238e-02 5.147e-02 -0.435 0.663707
## Household_1_CA_2.l2 -1.075e-01 3.190e-02 -3.372 0.000763 ***
## Household_2_CA_2.l2 -8.077e-02 3.919e-02 -2.061 0.039415 *
## Household_1_CA_3.l2 -2.554e-02 2.078e-02 -1.229 0.219228
## Household_2_CA_3.l2 -5.147e-02 3.507e-02 -1.468 0.142401
## Foods_1_CA_1.l2 -2.279e-03 3.690e-02 -0.062 0.950751
## Foods_2_CA_1.l2 3.165e-03 2.197e-02 0.144 0.885459
## Foods_3_CA_1.l2 -8.275e-03 7.623e-03 -1.086 0.277838
## Foods_1_CA_2.l2 8.909e-03 4.590e-02 0.194 0.846122
## Foods_2_CA_2.l2 -2.906e-02 3.411e-02 -0.852 0.394274
## Foods_3_CA_2.l2 1.497e-02 1.002e-02 1.493 0.135550
## Foods_1_CA_3.l2 1.487e-02 2.967e-02 0.501 0.616355
## Foods_2_CA_3.l2 2.764e-02 1.500e-02 1.843 0.065471 .
## Foods_3_CA_3.l2 5.488e-05 5.863e-03 0.009 0.992533
## Hobbies_CA_1.l3 -4.379e-03 1.323e-02 -0.331 0.740642
## Hobbies_CA_2.l3 -3.080e-02 1.668e-02 -1.846 0.064984 .
## Hobbies_CA_3.l3 4.579e-03 1.262e-02 0.363 0.716664
## Household_1_CA_1.l3 2.387e-02 3.141e-02 0.760 0.447463
## Household_2_CA_1.l3 5.622e-02 5.140e-02 1.094 0.274182
## Household_1_CA_2.l3 -1.065e-02 3.217e-02 -0.331 0.740679
## Household_2_CA_2.l3 -3.865e-02 3.939e-02 -0.981 0.326668
## Household_1_CA_3.l3 -2.476e-02 2.094e-02 -1.183 0.237112
## Household_2_CA_3.l3 -1.732e-03 3.521e-02 -0.049 0.960781
## Foods_1_CA_1.l3 -4.697e-02 3.697e-02 -1.270 0.204151
## Foods_2_CA_1.l3 2.695e-02 2.212e-02 1.218 0.223233
## Foods_3_CA_1.l3 -4.607e-03 7.667e-03 -0.601 0.547961
## Foods_1_CA_2.l3 9.869e-02 4.581e-02 2.154 0.031333 *
## Foods_2_CA_2.l3 2.360e-02 3.417e-02 0.691 0.489886
## Foods_3_CA_2.l3 -9.276e-03 1.011e-02 -0.917 0.359184
## Foods_1_CA_3.l3 2.132e-03 2.960e-02 0.072 0.942571
## Foods_2_CA_3.l3 -3.666e-02 1.501e-02 -2.442 0.014685 *
## Foods_3_CA_3.l3 1.324e-02 5.883e-03 2.251 0.024501 *
## Hobbies_CA_1.l4 1.235e-02 1.323e-02 0.934 0.350649
## Hobbies_CA_2.l4 -1.774e-02 1.674e-02 -1.060 0.289430
## Hobbies_CA_3.l4 9.442e-03 1.249e-02 0.756 0.449934
## Household_1_CA_1.l4 -3.011e-02 3.143e-02 -0.958 0.338300
## Household_2_CA_1.l4 -1.591e-02 5.122e-02 -0.311 0.756200
## Household_1_CA_2.l4 -2.995e-02 3.236e-02 -0.925 0.354862
## Household_2_CA_2.l4 -9.114e-02 3.953e-02 -2.306 0.021234 *
## Household_1_CA_3.l4 4.127e-02 2.083e-02 1.981 0.047761 *
## Household_2_CA_3.l4 -1.499e-02 3.527e-02 -0.425 0.670977
## Foods_1_CA_1.l4 -3.358e-02 3.693e-02 -0.909 0.363374
## Foods_2_CA_1.l4 -4.528e-02 2.199e-02 -2.060 0.039585 *
## Foods_3_CA_1.l4 1.449e-02 7.670e-03 1.889 0.059058 .
## Foods_1_CA_2.l4 3.955e-02 4.595e-02 0.861 0.389435
## Foods_2_CA_2.l4 -5.584e-02 3.417e-02 -1.635 0.102325
## Foods_3_CA_2.l4 1.108e-02 1.008e-02 1.099 0.271708
## Foods_1_CA_3.l4 -1.792e-02 2.946e-02 -0.608 0.543114
## Foods_2_CA_3.l4 2.844e-02 1.501e-02 1.895 0.058215 .
## Foods_3_CA_3.l4 -8.518e-03 5.901e-03 -1.443 0.149067
## Hobbies_CA_1.l5 4.013e-02 1.324e-02 3.032 0.002467 **
## Hobbies_CA_2.l5 7.091e-03 1.668e-02 0.425 0.670821
## Hobbies_CA_3.l5 5.688e-03 1.261e-02 0.451 0.652054
## Household_1_CA_1.l5 8.380e-02 3.137e-02 2.671 0.007622 **
## Household_2_CA_1.l5 -2.350e-03 5.134e-02 -0.046 0.963503
## Household_1_CA_2.l5 -5.516e-02 3.234e-02 -1.705 0.088283 .
## Household_2_CA_2.l5 -1.284e-02 3.944e-02 -0.326 0.744775
## Household_1_CA_3.l5 1.450e-02 2.094e-02 0.693 0.488624
## Household_2_CA_3.l5 -4.934e-02 3.533e-02 -1.397 0.162696
## Foods_1_CA_1.l5 -4.128e-03 3.709e-02 -0.111 0.911390
## Foods_2_CA_1.l5 5.828e-02 2.206e-02 2.642 0.008307 **
## Foods_3_CA_1.l5 -2.619e-02 7.682e-03 -3.409 0.000665 ***
## Foods_1_CA_2.l5 2.623e-03 4.624e-02 0.057 0.954780
## Foods_2_CA_2.l5 -3.619e-02 3.419e-02 -1.059 0.289899
## Foods_3_CA_2.l5 -1.270e-02 1.010e-02 -1.258 0.208586
## Foods_1_CA_3.l5 -1.067e-02 2.957e-02 -0.361 0.718314
## Foods_2_CA_3.l5 1.113e-02 1.502e-02 0.741 0.458869
## Foods_3_CA_3.l5 4.900e-03 5.901e-03 0.830 0.406415
## Hobbies_CA_1.l6 -3.979e-02 1.324e-02 -3.005 0.002691 **
## Hobbies_CA_2.l6 -1.222e-02 1.668e-02 -0.733 0.463919
## Hobbies_CA_3.l6 1.497e-02 1.262e-02 1.186 0.235713
## Household_1_CA_1.l6 8.755e-02 3.134e-02 2.793 0.005271 **
## Household_2_CA_1.l6 3.269e-02 5.120e-02 0.639 0.523188
## Household_1_CA_2.l6 -2.289e-02 3.226e-02 -0.710 0.478090
## Household_2_CA_2.l6 4.402e-02 3.953e-02 1.114 0.265605
## Household_1_CA_3.l6 5.298e-02 2.091e-02 2.534 0.011373 *
## Household_2_CA_3.l6 2.163e-02 3.526e-02 0.613 0.539754
## Foods_1_CA_1.l6 -1.981e-02 3.692e-02 -0.537 0.591603
## Foods_2_CA_1.l6 -1.968e-02 2.199e-02 -0.895 0.370900
## Foods_3_CA_1.l6 9.260e-03 7.699e-03 1.203 0.229220
## Foods_1_CA_2.l6 2.067e-02 4.595e-02 0.450 0.652868
## Foods_2_CA_2.l6 -1.793e-02 3.408e-02 -0.526 0.598966
## Foods_3_CA_2.l6 -9.296e-03 1.009e-02 -0.921 0.357237
## Foods_1_CA_3.l6 -3.062e-02 2.953e-02 -1.037 0.299855
## Foods_2_CA_3.l6 -2.225e-02 1.494e-02 -1.489 0.136595
## Foods_3_CA_3.l6 7.782e-03 5.842e-03 1.332 0.182989
## Hobbies_CA_1.l7 -9.632e-03 1.319e-02 -0.730 0.465302
## Hobbies_CA_2.l7 -7.182e-03 1.651e-02 -0.435 0.663561
## Hobbies_CA_3.l7 -7.043e-03 1.255e-02 -0.561 0.574742
## Household_1_CA_1.l7 9.989e-02 3.084e-02 3.239 0.001220 **
## Household_2_CA_1.l7 -5.433e-02 5.117e-02 -1.062 0.288486
## Household_1_CA_2.l7 1.764e-01 3.111e-02 5.671 1.65e-08 ***
## Household_2_CA_2.l7 8.602e-02 3.884e-02 2.215 0.026896 *
## Household_1_CA_3.l7 -9.151e-03 1.995e-02 -0.459 0.646427
## Household_2_CA_3.l7 5.517e-02 3.525e-02 1.565 0.117751
## Foods_1_CA_1.l7 -7.849e-02 3.541e-02 -2.216 0.026782 *
## Foods_2_CA_1.l7 1.454e-02 2.096e-02 0.694 0.487803
## Foods_3_CA_1.l7 2.389e-02 7.441e-03 3.210 0.001351 **
## Foods_1_CA_2.l7 1.048e-01 4.509e-02 2.325 0.020204 *
## Foods_2_CA_2.l7 -3.810e-02 3.344e-02 -1.139 0.254645
## Foods_3_CA_2.l7 1.576e-02 9.785e-03 1.610 0.107482
## Foods_1_CA_3.l7 -4.955e-02 2.814e-02 -1.761 0.078469 .
## Foods_2_CA_3.l7 -8.383e-03 1.395e-02 -0.601 0.547965
## Foods_3_CA_3.l7 -3.218e-03 5.478e-03 -0.587 0.556968
## const 6.417e+01 1.081e+01 5.937 3.46e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 31.31 on 1835 degrees of freedom
## Multiple R-Squared: 0.8202, Adjusted R-squared: 0.8079
## F-statistic: 66.45 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_1:
## =================================================
## Household_2_CA_1 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 1.261e-02 7.211e-03 1.749 0.080479 .
## Hobbies_CA_2.l1 -4.188e-03 9.216e-03 -0.454 0.649575
## Hobbies_CA_3.l1 -1.094e-03 6.851e-03 -0.160 0.873115
## Household_1_CA_1.l1 6.967e-03 1.709e-02 0.408 0.683575
## Household_2_CA_1.l1 2.053e-01 2.813e-02 7.298 4.34e-13 ***
## Household_1_CA_2.l1 9.040e-03 1.713e-02 0.528 0.597666
## Household_2_CA_2.l1 -9.685e-03 2.138e-02 -0.453 0.650610
## Household_1_CA_3.l1 2.609e-02 1.102e-02 2.369 0.017956 *
## Household_2_CA_3.l1 -8.778e-03 1.921e-02 -0.457 0.647825
## Foods_1_CA_1.l1 2.869e-02 1.954e-02 1.468 0.142167
## Foods_2_CA_1.l1 -2.272e-03 1.166e-02 -0.195 0.845546
## Foods_3_CA_1.l1 -4.013e-04 4.024e-03 -0.100 0.920572
## Foods_1_CA_2.l1 -4.973e-02 2.454e-02 -2.026 0.042896 *
## Foods_2_CA_2.l1 1.384e-02 1.839e-02 0.753 0.451577
## Foods_3_CA_2.l1 5.275e-03 5.354e-03 0.985 0.324587
## Foods_1_CA_3.l1 -3.352e-03 1.563e-02 -0.214 0.830192
## Foods_2_CA_3.l1 -5.896e-03 7.707e-03 -0.765 0.444388
## Foods_3_CA_3.l1 -5.251e-03 3.030e-03 -1.733 0.083228 .
## Hobbies_CA_1.l2 9.160e-03 7.267e-03 1.261 0.207631
## Hobbies_CA_2.l2 -2.121e-02 9.161e-03 -2.315 0.020725 *
## Hobbies_CA_3.l2 1.354e-02 6.916e-03 1.958 0.050423 .
## Household_1_CA_1.l2 2.425e-03 1.733e-02 0.140 0.888702
## Household_2_CA_1.l2 7.251e-02 2.831e-02 2.562 0.010499 *
## Household_1_CA_2.l2 -4.918e-02 1.754e-02 -2.804 0.005106 **
## Household_2_CA_2.l2 -5.479e-02 2.155e-02 -2.543 0.011086 *
## Household_1_CA_3.l2 -4.268e-02 1.143e-02 -3.734 0.000194 ***
## Household_2_CA_3.l2 -4.180e-03 1.929e-02 -0.217 0.828441
## Foods_1_CA_1.l2 -4.455e-03 2.029e-02 -0.220 0.826256
## Foods_2_CA_1.l2 -7.916e-04 1.208e-02 -0.066 0.947764
## Foods_3_CA_1.l2 -4.980e-03 4.192e-03 -1.188 0.235021
## Foods_1_CA_2.l2 5.319e-02 2.524e-02 2.107 0.035225 *
## Foods_2_CA_2.l2 -8.883e-03 1.876e-02 -0.474 0.635884
## Foods_3_CA_2.l2 2.406e-03 5.512e-03 0.437 0.662525
## Foods_1_CA_3.l2 1.397e-02 1.632e-02 0.856 0.391890
## Foods_2_CA_3.l2 7.883e-04 8.248e-03 0.096 0.923867
## Foods_3_CA_3.l2 7.541e-03 3.224e-03 2.339 0.019452 *
## Hobbies_CA_1.l3 3.643e-03 7.274e-03 0.501 0.616506
## Hobbies_CA_2.l3 -1.315e-02 9.174e-03 -1.434 0.151838
## Hobbies_CA_3.l3 8.868e-04 6.938e-03 0.128 0.898303
## Household_1_CA_1.l3 7.811e-03 1.728e-02 0.452 0.651224
## Household_2_CA_1.l3 7.863e-02 2.827e-02 2.782 0.005460 **
## Household_1_CA_2.l3 -6.814e-03 1.769e-02 -0.385 0.700176
## Household_2_CA_2.l3 9.653e-03 2.166e-02 0.446 0.655967
## Household_1_CA_3.l3 2.345e-03 1.151e-02 0.204 0.838643
## Household_2_CA_3.l3 3.002e-02 1.937e-02 1.550 0.121254
## Foods_1_CA_1.l3 3.613e-03 2.033e-02 0.178 0.858976
## Foods_2_CA_1.l3 7.480e-04 1.216e-02 0.061 0.950973
## Foods_3_CA_1.l3 -6.277e-03 4.216e-03 -1.489 0.136756
## Foods_1_CA_2.l3 -5.197e-03 2.519e-02 -0.206 0.836564
## Foods_2_CA_2.l3 -1.756e-02 1.879e-02 -0.934 0.350202
## Foods_3_CA_2.l3 -1.074e-03 5.562e-03 -0.193 0.846924
## Foods_1_CA_3.l3 1.216e-04 1.628e-02 0.007 0.994041
## Foods_2_CA_3.l3 2.778e-03 8.254e-03 0.337 0.736488
## Foods_3_CA_3.l3 -2.656e-03 3.236e-03 -0.821 0.411886
## Hobbies_CA_1.l4 4.960e-03 7.276e-03 0.682 0.495573
## Hobbies_CA_2.l4 -6.806e-03 9.206e-03 -0.739 0.459789
## Hobbies_CA_3.l4 9.020e-03 6.871e-03 1.313 0.189453
## Household_1_CA_1.l4 -2.833e-02 1.729e-02 -1.639 0.101442
## Household_2_CA_1.l4 8.467e-02 2.817e-02 3.006 0.002687 **
## Household_1_CA_2.l4 -1.460e-02 1.780e-02 -0.820 0.412077
## Household_2_CA_2.l4 -4.590e-03 2.174e-02 -0.211 0.832786
## Household_1_CA_3.l4 4.477e-03 1.146e-02 0.391 0.696018
## Household_2_CA_3.l4 -2.804e-02 1.940e-02 -1.446 0.148471
## Foods_1_CA_1.l4 -2.788e-02 2.031e-02 -1.373 0.169974
## Foods_2_CA_1.l4 1.024e-02 1.209e-02 0.847 0.397351
## Foods_3_CA_1.l4 -4.260e-04 4.218e-03 -0.101 0.919567
## Foods_1_CA_2.l4 3.883e-02 2.527e-02 1.537 0.124552
## Foods_2_CA_2.l4 2.815e-03 1.879e-02 0.150 0.880930
## Foods_3_CA_2.l4 2.823e-03 5.541e-03 0.510 0.610426
## Foods_1_CA_3.l4 -3.280e-02 1.620e-02 -2.024 0.043119 *
## Foods_2_CA_3.l4 2.398e-03 8.253e-03 0.291 0.771405
## Foods_3_CA_3.l4 9.718e-04 3.245e-03 0.299 0.764622
## Hobbies_CA_1.l5 -2.185e-03 7.280e-03 -0.300 0.764122
## Hobbies_CA_2.l5 3.371e-03 9.173e-03 0.368 0.713268
## Hobbies_CA_3.l5 3.645e-03 6.936e-03 0.526 0.599238
## Household_1_CA_1.l5 4.005e-02 1.725e-02 2.321 0.020376 *
## Household_2_CA_1.l5 1.864e-02 2.824e-02 0.660 0.509140
## Household_1_CA_2.l5 -3.702e-02 1.779e-02 -2.081 0.037567 *
## Household_2_CA_2.l5 1.067e-03 2.169e-02 0.049 0.960788
## Household_1_CA_3.l5 1.291e-02 1.152e-02 1.121 0.262272
## Household_2_CA_3.l5 1.468e-02 1.943e-02 0.755 0.450082
## Foods_1_CA_1.l5 3.015e-02 2.040e-02 1.478 0.139463
## Foods_2_CA_1.l5 1.515e-02 1.213e-02 1.249 0.211847
## Foods_3_CA_1.l5 -1.215e-02 4.225e-03 -2.876 0.004068 **
## Foods_1_CA_2.l5 2.272e-02 2.543e-02 0.894 0.371704
## Foods_2_CA_2.l5 -1.874e-02 1.880e-02 -0.997 0.319058
## Foods_3_CA_2.l5 -1.020e-02 5.554e-03 -1.837 0.066363 .
## Foods_1_CA_3.l5 -3.347e-04 1.626e-02 -0.021 0.983584
## Foods_2_CA_3.l5 -5.267e-03 8.262e-03 -0.637 0.523886
## Foods_3_CA_3.l5 4.460e-03 3.245e-03 1.374 0.169513
## Hobbies_CA_1.l6 -1.409e-02 7.282e-03 -1.935 0.053155 .
## Hobbies_CA_2.l6 -3.837e-03 9.173e-03 -0.418 0.675739
## Hobbies_CA_3.l6 -3.361e-03 6.939e-03 -0.484 0.628193
## Household_1_CA_1.l6 -3.816e-02 1.724e-02 -2.214 0.026966 *
## Household_2_CA_1.l6 1.173e-01 2.816e-02 4.165 3.26e-05 ***
## Household_1_CA_2.l6 1.752e-02 1.774e-02 0.987 0.323634
## Household_2_CA_2.l6 3.771e-02 2.174e-02 1.735 0.082969 .
## Household_1_CA_3.l6 2.107e-02 1.150e-02 1.832 0.067096 .
## Household_2_CA_3.l6 5.582e-02 1.939e-02 2.879 0.004040 **
## Foods_1_CA_1.l6 6.037e-03 2.031e-02 0.297 0.766286
## Foods_2_CA_1.l6 -7.277e-03 1.209e-02 -0.602 0.547403
## Foods_3_CA_1.l6 7.307e-03 4.234e-03 1.726 0.084547 .
## Foods_1_CA_2.l6 -8.912e-03 2.527e-02 -0.353 0.724379
## Foods_2_CA_2.l6 1.973e-02 1.874e-02 1.053 0.292648
## Foods_3_CA_2.l6 -7.371e-03 5.551e-03 -1.328 0.184428
## Foods_1_CA_3.l6 2.204e-02 1.624e-02 1.357 0.174922
## Foods_2_CA_3.l6 -1.949e-02 8.215e-03 -2.373 0.017745 *
## Foods_3_CA_3.l6 1.168e-03 3.213e-03 0.363 0.716306
## Hobbies_CA_1.l7 2.946e-03 7.253e-03 0.406 0.684643
## Hobbies_CA_2.l7 4.602e-03 9.078e-03 0.507 0.612247
## Hobbies_CA_3.l7 -2.541e-04 6.902e-03 -0.037 0.970631
## Household_1_CA_1.l7 5.362e-03 1.696e-02 0.316 0.751905
## Household_2_CA_1.l7 1.276e-01 2.814e-02 4.534 6.17e-06 ***
## Household_1_CA_2.l7 6.551e-02 1.711e-02 3.829 0.000133 ***
## Household_2_CA_2.l7 3.227e-02 2.136e-02 1.511 0.131002
## Household_1_CA_3.l7 -1.502e-02 1.097e-02 -1.369 0.171187
## Household_2_CA_3.l7 1.163e-02 1.939e-02 0.600 0.548620
## Foods_1_CA_1.l7 -7.105e-02 1.947e-02 -3.649 0.000271 ***
## Foods_2_CA_1.l7 2.904e-05 1.152e-02 0.003 0.997990
## Foods_3_CA_1.l7 1.037e-02 4.092e-03 2.535 0.011323 *
## Foods_1_CA_2.l7 5.113e-02 2.480e-02 2.062 0.039362 *
## Foods_2_CA_2.l7 -1.154e-02 1.839e-02 -0.627 0.530436
## Foods_3_CA_2.l7 1.169e-03 5.381e-03 0.217 0.828087
## Foods_1_CA_3.l7 -2.803e-02 1.548e-02 -1.811 0.070327 .
## Foods_2_CA_3.l7 1.848e-02 7.672e-03 2.408 0.016122 *
## Foods_3_CA_3.l7 -2.428e-04 3.013e-03 -0.081 0.935773
## const 2.374e+01 5.944e+00 3.994 6.75e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 17.22 on 1835 degrees of freedom
## Multiple R-Squared: 0.7327, Adjusted R-squared: 0.7143
## F-statistic: 39.92 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_2:
## =================================================
## Household_1_CA_2 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 -0.0066603 0.0133097 -0.500 0.616847
## Hobbies_CA_2.l1 0.0206903 0.0170109 1.216 0.224030
## Hobbies_CA_3.l1 -0.0227662 0.0126444 -1.800 0.071946 .
## Household_1_CA_1.l1 0.0208750 0.0315456 0.662 0.508220
## Household_2_CA_1.l1 0.0805952 0.0519150 1.552 0.120728
## Household_1_CA_2.l1 0.2377737 0.0316080 7.523 8.36e-14 ***
## Household_2_CA_2.l1 0.0234774 0.0394620 0.595 0.551959
## Household_1_CA_3.l1 0.0512029 0.0203330 2.518 0.011880 *
## Household_2_CA_3.l1 -0.0875279 0.0354616 -2.468 0.013668 *
## Foods_1_CA_1.l1 0.0295512 0.0360603 0.819 0.412610
## Foods_2_CA_1.l1 -0.0135297 0.0215268 -0.629 0.529750
## Foods_3_CA_1.l1 -0.0083774 0.0074263 -1.128 0.259438
## Foods_1_CA_2.l1 -0.0717638 0.0452991 -1.584 0.113316
## Foods_2_CA_2.l1 0.0191022 0.0339381 0.563 0.573604
## Foods_3_CA_2.l1 0.0194527 0.0098811 1.969 0.049140 *
## Foods_1_CA_3.l1 -0.0489929 0.0288411 -1.699 0.089542 .
## Foods_2_CA_3.l1 0.0230668 0.0142248 1.622 0.105063
## Foods_3_CA_3.l1 -0.0193131 0.0055922 -3.454 0.000566 ***
## Hobbies_CA_1.l2 0.0085776 0.0134121 0.640 0.522548
## Hobbies_CA_2.l2 -0.0140021 0.0169093 -0.828 0.407735
## Hobbies_CA_3.l2 -0.0005428 0.0127648 -0.043 0.966085
## Household_1_CA_1.l2 0.0404387 0.0319811 1.264 0.206227
## Household_2_CA_1.l2 0.0038268 0.0522458 0.073 0.941618
## Household_1_CA_2.l2 -0.0214834 0.0323761 -0.664 0.507057
## Household_2_CA_2.l2 -0.0700601 0.0397744 -1.761 0.078331 .
## Household_1_CA_3.l2 -0.0323769 0.0210957 -1.535 0.125015
## Household_2_CA_3.l2 -0.0695953 0.0355990 -1.955 0.050738 .
## Foods_1_CA_1.l2 0.0137432 0.0374549 0.367 0.713715
## Foods_2_CA_1.l2 0.0056102 0.0222989 0.252 0.801385
## Foods_3_CA_1.l2 -0.0130951 0.0077373 -1.692 0.090727 .
## Foods_1_CA_2.l2 -0.0254140 0.0465886 -0.545 0.585477
## Foods_2_CA_2.l2 -0.0240678 0.0346228 -0.695 0.487053
## Foods_3_CA_2.l2 0.0009010 0.0101735 0.089 0.929439
## Foods_1_CA_3.l2 0.0268840 0.0301152 0.893 0.372131
## Foods_2_CA_3.l2 -0.0176209 0.0152226 -1.158 0.247196
## Foods_3_CA_3.l2 0.0143480 0.0059510 2.411 0.016005 *
## Hobbies_CA_1.l3 0.0024701 0.0134254 0.184 0.854047
## Hobbies_CA_2.l3 0.0105598 0.0169334 0.624 0.532961
## Hobbies_CA_3.l3 0.0065008 0.0128048 0.508 0.611735
## Household_1_CA_1.l3 -0.0500043 0.0318872 -1.568 0.117016
## Household_2_CA_1.l3 0.0126012 0.0521728 0.242 0.809173
## Household_1_CA_2.l3 0.0890146 0.0326560 2.726 0.006475 **
## Household_2_CA_2.l3 0.0171125 0.0399868 0.428 0.668735
## Household_1_CA_3.l3 -0.0130284 0.0212503 -0.613 0.539893
## Household_2_CA_3.l3 -0.0002635 0.0357427 -0.007 0.994119
## Foods_1_CA_1.l3 -0.0287054 0.0375308 -0.765 0.444460
## Foods_2_CA_1.l3 0.0154896 0.0224520 0.690 0.490347
## Foods_3_CA_1.l3 -0.0001594 0.0077823 -0.020 0.983659
## Foods_1_CA_2.l3 0.0761669 0.0464939 1.638 0.101549
## Foods_2_CA_2.l3 -0.0369376 0.0346857 -1.065 0.287051
## Foods_3_CA_2.l3 -0.0095211 0.0102665 -0.927 0.353843
## Foods_1_CA_3.l3 0.0135991 0.0300401 0.453 0.650819
## Foods_2_CA_3.l3 -0.0086335 0.0152343 -0.567 0.570978
## Foods_3_CA_3.l3 0.0019950 0.0059719 0.334 0.738375
## Hobbies_CA_1.l4 0.0191809 0.0134300 1.428 0.153401
## Hobbies_CA_2.l4 -0.0097493 0.0169909 -0.574 0.566175
## Hobbies_CA_3.l4 0.0225279 0.0126823 1.776 0.075844 .
## Household_1_CA_1.l4 -0.0669153 0.0319055 -2.097 0.036104 *
## Household_2_CA_1.l4 -0.0515408 0.0519934 -0.991 0.321673
## Household_1_CA_2.l4 0.0309216 0.0328464 0.941 0.346623
## Household_2_CA_2.l4 -0.0643336 0.0401203 -1.604 0.108992
## Household_1_CA_3.l4 -0.0148883 0.0211471 -0.704 0.481502
## Household_2_CA_3.l4 -0.0584799 0.0358041 -1.633 0.102571
## Foods_1_CA_1.l4 -0.0598140 0.0374896 -1.595 0.110777
## Foods_2_CA_1.l4 -0.0085439 0.0223165 -0.383 0.701876
## Foods_3_CA_1.l4 0.0083986 0.0077854 1.079 0.280837
## Foods_1_CA_2.l4 0.0897844 0.0466389 1.925 0.054372 .
## Foods_2_CA_2.l4 -0.0042284 0.0346800 -0.122 0.902972
## Foods_3_CA_2.l4 0.0004242 0.0102268 0.041 0.966921
## Foods_1_CA_3.l4 0.0129695 0.0299076 0.434 0.664593
## Foods_2_CA_3.l4 0.0107865 0.0152331 0.708 0.478976
## Foods_3_CA_3.l4 0.0002298 0.0059896 0.038 0.969402
## Hobbies_CA_1.l5 0.0096556 0.0134366 0.719 0.472474
## Hobbies_CA_2.l5 0.0245689 0.0169314 1.451 0.146928
## Hobbies_CA_3.l5 -0.0123712 0.0128012 -0.966 0.333969
## Household_1_CA_1.l5 -0.0027323 0.0318421 -0.086 0.931628
## Household_2_CA_1.l5 0.0483597 0.0521155 0.928 0.353565
## Household_1_CA_2.l5 0.0310010 0.0328299 0.944 0.345145
## Household_2_CA_2.l5 -0.0847199 0.0400339 -2.116 0.034462 *
## Household_1_CA_3.l5 0.0701542 0.0212534 3.301 0.000982 ***
## Household_2_CA_3.l5 0.0082614 0.0358610 0.230 0.817827
## Foods_1_CA_1.l5 0.0392604 0.0376438 1.043 0.297111
## Foods_2_CA_1.l5 0.0277870 0.0223892 1.241 0.214732
## Foods_3_CA_1.l5 -0.0267818 0.0077976 -3.435 0.000607 ***
## Foods_1_CA_2.l5 -0.0398752 0.0469373 -0.850 0.395691
## Foods_2_CA_2.l5 -0.0106961 0.0347015 -0.308 0.757942
## Foods_3_CA_2.l5 -0.0120845 0.0102511 -1.179 0.238611
## Foods_1_CA_3.l5 -0.0043845 0.0300194 -0.146 0.883894
## Foods_2_CA_3.l5 0.0095852 0.0152487 0.629 0.529698
## Foods_3_CA_3.l5 -0.0011362 0.0059899 -0.190 0.849574
## Hobbies_CA_1.l6 -0.0410012 0.0134400 -3.051 0.002316 **
## Hobbies_CA_2.l6 0.0051882 0.0169305 0.306 0.759306
## Hobbies_CA_3.l6 -0.0003558 0.0128081 -0.028 0.977840
## Household_1_CA_1.l6 0.0883334 0.0318158 2.776 0.005552 **
## Household_2_CA_1.l6 -0.0768021 0.0519664 -1.478 0.139602
## Household_1_CA_2.l6 0.0144283 0.0327493 0.441 0.659578
## Household_2_CA_2.l6 0.0360317 0.0401238 0.898 0.369297
## Household_1_CA_3.l6 0.0393443 0.0212265 1.854 0.063964 .
## Household_2_CA_3.l6 0.0818968 0.0357919 2.288 0.022243 *
## Foods_1_CA_1.l6 -0.0292233 0.0374785 -0.780 0.435647
## Foods_2_CA_1.l6 0.0190756 0.0223200 0.855 0.392861
## Foods_3_CA_1.l6 0.0082196 0.0078146 1.052 0.293020
## Foods_1_CA_2.l6 0.0800946 0.0466437 1.717 0.086119 .
## Foods_2_CA_2.l6 -0.0625224 0.0345962 -1.807 0.070894 .
## Foods_3_CA_2.l6 0.0141944 0.0102461 1.385 0.166115
## Foods_1_CA_3.l6 0.0305011 0.0299720 1.018 0.308977
## Foods_2_CA_3.l6 -0.0098626 0.0151621 -0.650 0.515464
## Foods_3_CA_3.l6 -0.0008269 0.0059297 -0.139 0.889111
## Hobbies_CA_1.l7 -0.0418488 0.0133869 -3.126 0.001799 **
## Hobbies_CA_2.l7 0.0188497 0.0167550 1.125 0.260728
## Hobbies_CA_3.l7 0.0095144 0.0127386 0.747 0.455225
## Household_1_CA_1.l7 0.0696575 0.0313011 2.225 0.026175 *
## Household_2_CA_1.l7 -0.0294007 0.0519384 -0.566 0.571417
## Household_1_CA_2.l7 0.2673174 0.0315805 8.465 < 2e-16 ***
## Household_2_CA_2.l7 0.1634549 0.0394207 4.146 3.53e-05 ***
## Household_1_CA_3.l7 -0.0645711 0.0202460 -3.189 0.001450 **
## Household_2_CA_3.l7 0.0377665 0.0357845 1.055 0.291387
## Foods_1_CA_1.l7 -0.1259072 0.0359430 -3.503 0.000471 ***
## Foods_2_CA_1.l7 -0.0015888 0.0212708 -0.075 0.940466
## Foods_3_CA_1.l7 0.0258535 0.0075531 3.423 0.000633 ***
## Foods_1_CA_2.l7 0.0269383 0.0457660 0.589 0.556196
## Foods_2_CA_2.l7 -0.0224292 0.0339379 -0.661 0.508766
## Foods_3_CA_2.l7 0.0220713 0.0099325 2.222 0.026396 *
## Foods_1_CA_3.l7 -0.0256222 0.0285657 -0.897 0.369859
## Foods_2_CA_3.l7 0.0023539 0.0141603 0.166 0.867995
## Foods_3_CA_3.l7 -0.0013719 0.0055604 -0.247 0.805153
## const 58.0611337 10.9709386 5.292 1.35e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 31.78 on 1835 degrees of freedom
## Multiple R-Squared: 0.8107, Adjusted R-squared: 0.7977
## F-statistic: 62.36 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_2:
## =================================================
## Household_2_CA_2 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0107438 0.0100145 1.073 0.283488
## Hobbies_CA_2.l1 0.0025263 0.0127993 0.197 0.843553
## Hobbies_CA_3.l1 -0.0076956 0.0095139 -0.809 0.418684
## Household_1_CA_1.l1 0.0131240 0.0237355 0.553 0.580381
## Household_2_CA_1.l1 0.0628667 0.0390618 1.609 0.107697
## Household_1_CA_2.l1 0.0311688 0.0237824 1.311 0.190163
## Household_2_CA_2.l1 0.1659088 0.0296920 5.588 2.65e-08 ***
## Household_1_CA_3.l1 0.0265640 0.0152989 1.736 0.082674 .
## Household_2_CA_3.l1 -0.0340193 0.0266820 -1.275 0.202473
## Foods_1_CA_1.l1 0.0360484 0.0271324 1.329 0.184142
## Foods_2_CA_1.l1 0.0012188 0.0161971 0.075 0.940023
## Foods_3_CA_1.l1 0.0008387 0.0055877 0.150 0.880700
## Foods_1_CA_2.l1 -0.1109534 0.0340838 -3.255 0.001153 **
## Foods_2_CA_2.l1 0.0480251 0.0255356 1.881 0.060170 .
## Foods_3_CA_2.l1 0.0056603 0.0074347 0.761 0.446553
## Foods_1_CA_3.l1 -0.0621437 0.0217006 -2.864 0.004235 **
## Foods_2_CA_3.l1 -0.0027066 0.0107030 -0.253 0.800385
## Foods_3_CA_3.l1 -0.0127042 0.0042077 -3.019 0.002568 **
## Hobbies_CA_1.l2 0.0258983 0.0100915 2.566 0.010356 *
## Hobbies_CA_2.l2 -0.0130619 0.0127228 -1.027 0.304721
## Hobbies_CA_3.l2 0.0110348 0.0096045 1.149 0.250738
## Household_1_CA_1.l2 0.0421370 0.0240632 1.751 0.080095 .
## Household_2_CA_1.l2 -0.0031989 0.0393107 -0.081 0.935153
## Household_1_CA_2.l2 -0.1381931 0.0243604 -5.673 1.63e-08 ***
## Household_2_CA_2.l2 0.0524802 0.0299270 1.754 0.079665 .
## Household_1_CA_3.l2 -0.0486808 0.0158728 -3.067 0.002194 **
## Household_2_CA_3.l2 -0.0129651 0.0267854 -0.484 0.628418
## Foods_1_CA_1.l2 -0.0155408 0.0281817 -0.551 0.581393
## Foods_2_CA_1.l2 0.0131585 0.0167781 0.784 0.432985
## Foods_3_CA_1.l2 -0.0072554 0.0058217 -1.246 0.212822
## Foods_1_CA_2.l2 0.0109901 0.0350541 0.314 0.753923
## Foods_2_CA_2.l2 -0.0111700 0.0260508 -0.429 0.668137
## Foods_3_CA_2.l2 0.0045860 0.0076548 0.599 0.549180
## Foods_1_CA_3.l2 0.0533637 0.0226592 2.355 0.018625 *
## Foods_2_CA_3.l2 -0.0010398 0.0114537 -0.091 0.927678
## Foods_3_CA_3.l2 0.0044257 0.0044776 0.988 0.323088
## Hobbies_CA_1.l3 -0.0109010 0.0101015 -1.079 0.280665
## Hobbies_CA_2.l3 0.0091331 0.0127410 0.717 0.473568
## Hobbies_CA_3.l3 -0.0073956 0.0096346 -0.768 0.442817
## Household_1_CA_1.l3 -0.0072207 0.0239925 -0.301 0.763482
## Household_2_CA_1.l3 0.0313164 0.0392558 0.798 0.425117
## Household_1_CA_2.l3 0.0105131 0.0245709 0.428 0.668798
## Household_2_CA_2.l3 0.0849418 0.0300868 2.823 0.004806 **
## Household_1_CA_3.l3 -0.0179689 0.0159891 -1.124 0.261237
## Household_2_CA_3.l3 0.0207103 0.0268934 0.770 0.441348
## Foods_1_CA_1.l3 -0.0263454 0.0282388 -0.933 0.350968
## Foods_2_CA_1.l3 -0.0054302 0.0168933 -0.321 0.747915
## Foods_3_CA_1.l3 -0.0014883 0.0058556 -0.254 0.799398
## Foods_1_CA_2.l3 0.0573119 0.0349828 1.638 0.101533
## Foods_2_CA_2.l3 -0.0145768 0.0260982 -0.559 0.576547
## Foods_3_CA_2.l3 -0.0097340 0.0077247 -1.260 0.207789
## Foods_1_CA_3.l3 0.0107116 0.0226027 0.474 0.635622
## Foods_2_CA_3.l3 -0.0105141 0.0114626 -0.917 0.359132
## Foods_3_CA_3.l3 0.0083015 0.0044934 1.847 0.064837 .
## Hobbies_CA_1.l4 0.0101957 0.0101050 1.009 0.313119
## Hobbies_CA_2.l4 -0.0178065 0.0127843 -1.393 0.163835
## Hobbies_CA_3.l4 0.0035786 0.0095424 0.375 0.707688
## Household_1_CA_1.l4 -0.0066722 0.0240063 -0.278 0.781093
## Household_2_CA_1.l4 -0.0041352 0.0391208 -0.106 0.915828
## Household_1_CA_2.l4 0.0180896 0.0247142 0.732 0.464293
## Household_2_CA_2.l4 -0.0124417 0.0301872 -0.412 0.680277
## Household_1_CA_3.l4 0.0155117 0.0159115 0.975 0.329751
## Household_2_CA_3.l4 -0.0231724 0.0269396 -0.860 0.389813
## Foods_1_CA_1.l4 -0.0117710 0.0282078 -0.417 0.676512
## Foods_2_CA_1.l4 -0.0118670 0.0167914 -0.707 0.479823
## Foods_3_CA_1.l4 0.0027306 0.0058579 0.466 0.641168
## Foods_1_CA_2.l4 -0.0096594 0.0350920 -0.275 0.783147
## Foods_2_CA_2.l4 0.0036596 0.0260939 0.140 0.888480
## Foods_3_CA_2.l4 -0.0002072 0.0076948 -0.027 0.978520
## Foods_1_CA_3.l4 -0.0254037 0.0225030 -1.129 0.259088
## Foods_2_CA_3.l4 0.0163326 0.0114617 1.425 0.154334
## Foods_3_CA_3.l4 -0.0028609 0.0045067 -0.635 0.525629
## Hobbies_CA_1.l5 0.0029398 0.0101099 0.291 0.771249
## Hobbies_CA_2.l5 0.0292353 0.0127395 2.295 0.021854 *
## Hobbies_CA_3.l5 -0.0021274 0.0096319 -0.221 0.825216
## Household_1_CA_1.l5 -0.0150727 0.0239586 -0.629 0.529353
## Household_2_CA_1.l5 0.0318440 0.0392127 0.812 0.416849
## Household_1_CA_2.l5 -0.0407125 0.0247018 -1.648 0.099491 .
## Household_2_CA_2.l5 0.0301377 0.0301223 1.001 0.317194
## Household_1_CA_3.l5 0.0116195 0.0159915 0.727 0.467560
## Household_2_CA_3.l5 0.0238265 0.0269825 0.883 0.377333
## Foods_1_CA_1.l5 0.0354287 0.0283239 1.251 0.211151
## Foods_2_CA_1.l5 0.0457138 0.0168460 2.714 0.006717 **
## Foods_3_CA_1.l5 -0.0279501 0.0058671 -4.764 2.05e-06 ***
## Foods_1_CA_2.l5 -0.0149689 0.0353165 -0.424 0.671725
## Foods_2_CA_2.l5 -0.0021731 0.0261101 -0.083 0.933679
## Foods_3_CA_2.l5 -0.0071547 0.0077131 -0.928 0.353734
## Foods_1_CA_3.l5 0.0175489 0.0225872 0.777 0.437293
## Foods_2_CA_3.l5 -0.0015075 0.0114734 -0.131 0.895482
## Foods_3_CA_3.l5 0.0039727 0.0045069 0.881 0.378184
## Hobbies_CA_1.l6 -0.0322060 0.0101125 -3.185 0.001473 **
## Hobbies_CA_2.l6 0.0054760 0.0127389 0.430 0.667344
## Hobbies_CA_3.l6 0.0059783 0.0096370 0.620 0.535108
## Household_1_CA_1.l6 0.0058601 0.0239388 0.245 0.806643
## Household_2_CA_1.l6 0.0174235 0.0391005 0.446 0.655933
## Household_1_CA_2.l6 -0.0067357 0.0246412 -0.273 0.784615
## Household_2_CA_2.l6 0.0851662 0.0301899 2.821 0.004839 **
## Household_1_CA_3.l6 0.0143158 0.0159712 0.896 0.370183
## Household_2_CA_3.l6 0.0969398 0.0269305 3.600 0.000327 ***
## Foods_1_CA_1.l6 -0.0035074 0.0281995 -0.124 0.901029
## Foods_2_CA_1.l6 -0.0063310 0.0167940 -0.377 0.706233
## Foods_3_CA_1.l6 0.0153062 0.0058799 2.603 0.009311 **
## Foods_1_CA_2.l6 0.0550012 0.0350956 1.567 0.117244
## Foods_2_CA_2.l6 0.0125722 0.0260308 0.483 0.629173
## Foods_3_CA_2.l6 -0.0065182 0.0077094 -0.845 0.397949
## Foods_1_CA_3.l6 0.0132602 0.0225515 0.588 0.556608
## Foods_2_CA_3.l6 -0.0269754 0.0114082 -2.365 0.018155 *
## Foods_3_CA_3.l6 0.0006722 0.0044616 0.151 0.880255
## Hobbies_CA_1.l7 -0.0130806 0.0100725 -1.299 0.194232
## Hobbies_CA_2.l7 0.0014273 0.0126068 0.113 0.909869
## Hobbies_CA_3.l7 0.0019213 0.0095848 0.200 0.841147
## Household_1_CA_1.l7 0.0427590 0.0235515 1.816 0.069602 .
## Household_2_CA_1.l7 -0.0522971 0.0390794 -1.338 0.180989
## Household_1_CA_2.l7 0.1571277 0.0237618 6.613 4.94e-11 ***
## Household_2_CA_2.l7 0.2278920 0.0296608 7.683 2.51e-14 ***
## Household_1_CA_3.l7 -0.0267189 0.0152334 -1.754 0.079603 .
## Household_2_CA_3.l7 -0.0154706 0.0269249 -0.575 0.565644
## Foods_1_CA_1.l7 -0.0552125 0.0270442 -2.042 0.041337 *
## Foods_2_CA_1.l7 -0.0115464 0.0160045 -0.721 0.470725
## Foods_3_CA_1.l7 0.0212346 0.0056831 3.736 0.000192 ***
## Foods_1_CA_2.l7 0.0755302 0.0344352 2.193 0.028403 *
## Foods_2_CA_2.l7 0.0321051 0.0255355 1.257 0.208814
## Foods_3_CA_2.l7 0.0020100 0.0074734 0.269 0.787991
## Foods_1_CA_3.l7 -0.0294170 0.0214933 -1.369 0.171273
## Foods_2_CA_3.l7 0.0232761 0.0106545 2.185 0.029043 *
## Foods_3_CA_3.l7 -0.0095287 0.0041837 -2.278 0.022867 *
## const 31.4095850 8.2547352 3.805 0.000146 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 23.91 on 1835 degrees of freedom
## Multiple R-Squared: 0.7633, Adjusted R-squared: 0.747
## F-statistic: 46.96 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_1_CA_3:
## =================================================
## Household_1_CA_3 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 1.158e-02 1.967e-02 0.588 0.556340
## Hobbies_CA_2.l1 -5.996e-02 2.514e-02 -2.385 0.017197 *
## Hobbies_CA_3.l1 -4.068e-02 1.869e-02 -2.176 0.029649 *
## Household_1_CA_1.l1 1.439e-01 4.663e-02 3.085 0.002063 **
## Household_2_CA_1.l1 2.499e-01 7.674e-02 3.256 0.001149 **
## Household_1_CA_2.l1 1.003e-01 4.672e-02 2.146 0.032022 *
## Household_2_CA_2.l1 4.920e-02 5.833e-02 0.843 0.399097
## Household_1_CA_3.l1 3.272e-01 3.005e-02 10.888 < 2e-16 ***
## Household_2_CA_3.l1 -7.325e-02 5.242e-02 -1.397 0.162456
## Foods_1_CA_1.l1 9.844e-02 5.330e-02 1.847 0.064925 .
## Foods_2_CA_1.l1 4.313e-02 3.182e-02 1.355 0.175435
## Foods_3_CA_1.l1 -2.829e-02 1.098e-02 -2.578 0.010025 *
## Foods_1_CA_2.l1 8.022e-03 6.696e-02 0.120 0.904644
## Foods_2_CA_2.l1 1.492e-02 5.016e-02 0.297 0.766146
## Foods_3_CA_2.l1 -7.507e-03 1.461e-02 -0.514 0.607336
## Foods_1_CA_3.l1 5.093e-03 4.263e-02 0.119 0.904920
## Foods_2_CA_3.l1 -2.679e-02 2.103e-02 -1.274 0.202811
## Foods_3_CA_3.l1 -1.611e-02 8.266e-03 -1.949 0.051426 .
## Hobbies_CA_1.l2 3.741e-02 1.982e-02 1.887 0.059301 .
## Hobbies_CA_2.l2 -2.470e-02 2.499e-02 -0.988 0.323189
## Hobbies_CA_3.l2 3.450e-02 1.887e-02 1.828 0.067668 .
## Household_1_CA_1.l2 6.171e-02 4.727e-02 1.305 0.191937
## Household_2_CA_1.l2 -4.414e-02 7.723e-02 -0.572 0.567697
## Household_1_CA_2.l2 -8.955e-02 4.786e-02 -1.871 0.061474 .
## Household_2_CA_2.l2 -8.833e-02 5.879e-02 -1.502 0.133175
## Household_1_CA_3.l2 2.819e-02 3.118e-02 0.904 0.366030
## Household_2_CA_3.l2 -1.841e-02 5.262e-02 -0.350 0.726418
## Foods_1_CA_1.l2 1.099e-02 5.536e-02 0.198 0.842731
## Foods_2_CA_1.l2 -8.749e-03 3.296e-02 -0.265 0.790707
## Foods_3_CA_1.l2 -1.372e-02 1.144e-02 -1.199 0.230569
## Foods_1_CA_2.l2 -1.555e-02 6.886e-02 -0.226 0.821382
## Foods_2_CA_2.l2 -3.252e-02 5.118e-02 -0.635 0.525265
## Foods_3_CA_2.l2 6.496e-03 1.504e-02 0.432 0.665809
## Foods_1_CA_3.l2 2.787e-02 4.451e-02 0.626 0.531362
## Foods_2_CA_3.l2 4.834e-02 2.250e-02 2.148 0.031815 *
## Foods_3_CA_3.l2 1.339e-03 8.796e-03 0.152 0.879038
## Hobbies_CA_1.l3 -7.504e-05 1.984e-02 -0.004 0.996983
## Hobbies_CA_2.l3 -2.401e-02 2.503e-02 -0.959 0.337649
## Hobbies_CA_3.l3 2.394e-02 1.893e-02 1.265 0.206007
## Household_1_CA_1.l3 -3.125e-02 4.713e-02 -0.663 0.507416
## Household_2_CA_1.l3 7.897e-02 7.712e-02 1.024 0.305954
## Household_1_CA_2.l3 -5.169e-02 4.827e-02 -1.071 0.284338
## Household_2_CA_2.l3 3.088e-02 5.911e-02 0.523 0.601385
## Household_1_CA_3.l3 -6.148e-04 3.141e-02 -0.020 0.984386
## Household_2_CA_3.l3 -1.097e-02 5.283e-02 -0.208 0.835533
## Foods_1_CA_1.l3 -3.896e-02 5.547e-02 -0.702 0.482555
## Foods_2_CA_1.l3 -1.393e-02 3.319e-02 -0.420 0.674671
## Foods_3_CA_1.l3 1.947e-02 1.150e-02 1.693 0.090654 .
## Foods_1_CA_2.l3 5.390e-02 6.872e-02 0.784 0.433005
## Foods_2_CA_2.l3 -4.018e-02 5.127e-02 -0.784 0.433335
## Foods_3_CA_2.l3 -8.099e-03 1.518e-02 -0.534 0.593619
## Foods_1_CA_3.l3 7.285e-03 4.440e-02 0.164 0.869693
## Foods_2_CA_3.l3 -3.072e-02 2.252e-02 -1.364 0.172715
## Foods_3_CA_3.l3 6.491e-03 8.827e-03 0.735 0.462194
## Hobbies_CA_1.l4 2.266e-02 1.985e-02 1.141 0.253817
## Hobbies_CA_2.l4 -5.687e-02 2.511e-02 -2.265 0.023659 *
## Hobbies_CA_3.l4 9.765e-03 1.875e-02 0.521 0.602491
## Household_1_CA_1.l4 -3.893e-02 4.716e-02 -0.826 0.409154
## Household_2_CA_1.l4 -8.199e-02 7.685e-02 -1.067 0.286164
## Household_1_CA_2.l4 2.356e-02 4.855e-02 0.485 0.627484
## Household_2_CA_2.l4 -1.695e-01 5.930e-02 -2.858 0.004310 **
## Household_1_CA_3.l4 4.402e-02 3.126e-02 1.408 0.159261
## Household_2_CA_3.l4 3.034e-02 5.292e-02 0.573 0.566578
## Foods_1_CA_1.l4 -9.786e-02 5.541e-02 -1.766 0.077558 .
## Foods_2_CA_1.l4 4.399e-02 3.299e-02 1.334 0.182489
## Foods_3_CA_1.l4 -1.361e-02 1.151e-02 -1.183 0.237146
## Foods_1_CA_2.l4 8.195e-02 6.894e-02 1.189 0.234694
## Foods_2_CA_2.l4 2.157e-02 5.126e-02 0.421 0.673958
## Foods_3_CA_2.l4 2.220e-02 1.512e-02 1.468 0.142156
## Foods_1_CA_3.l4 -4.815e-02 4.421e-02 -1.089 0.276197
## Foods_2_CA_3.l4 2.010e-02 2.252e-02 0.893 0.372225
## Foods_3_CA_3.l4 3.105e-03 8.853e-03 0.351 0.725833
## Hobbies_CA_1.l5 3.257e-02 1.986e-02 1.640 0.101145
## Hobbies_CA_2.l5 -2.184e-02 2.503e-02 -0.873 0.382945
## Hobbies_CA_3.l5 1.792e-02 1.892e-02 0.947 0.343814
## Household_1_CA_1.l5 6.133e-03 4.707e-02 0.130 0.896335
## Household_2_CA_1.l5 2.476e-03 7.703e-02 0.032 0.974358
## Household_1_CA_2.l5 -3.284e-02 4.853e-02 -0.677 0.498598
## Household_2_CA_2.l5 -1.675e-02 5.917e-02 -0.283 0.777120
## Household_1_CA_3.l5 8.437e-02 3.142e-02 2.686 0.007306 **
## Household_2_CA_3.l5 4.679e-02 5.301e-02 0.883 0.377485
## Foods_1_CA_1.l5 -7.464e-02 5.564e-02 -1.341 0.179927
## Foods_2_CA_1.l5 3.798e-02 3.309e-02 1.148 0.251237
## Foods_3_CA_1.l5 -2.672e-02 1.153e-02 -2.318 0.020539 *
## Foods_1_CA_2.l5 -5.846e-02 6.938e-02 -0.843 0.399527
## Foods_2_CA_2.l5 -8.531e-02 5.129e-02 -1.663 0.096431 .
## Foods_3_CA_2.l5 -3.086e-03 1.515e-02 -0.204 0.838622
## Foods_1_CA_3.l5 -4.261e-02 4.437e-02 -0.960 0.337010
## Foods_2_CA_3.l5 1.289e-02 2.254e-02 0.572 0.567554
## Foods_3_CA_3.l5 6.281e-03 8.854e-03 0.709 0.478171
## Hobbies_CA_1.l6 -1.351e-02 1.987e-02 -0.680 0.496444
## Hobbies_CA_2.l6 7.660e-03 2.503e-02 0.306 0.759560
## Hobbies_CA_3.l6 1.861e-02 1.893e-02 0.983 0.325717
## Household_1_CA_1.l6 1.261e-01 4.703e-02 2.681 0.007415 **
## Household_2_CA_1.l6 -6.040e-02 7.681e-02 -0.786 0.431770
## Household_1_CA_2.l6 -7.367e-02 4.841e-02 -1.522 0.128191
## Household_2_CA_2.l6 4.027e-02 5.931e-02 0.679 0.497212
## Household_1_CA_3.l6 8.306e-02 3.138e-02 2.647 0.008184 **
## Household_2_CA_3.l6 6.692e-02 5.290e-02 1.265 0.206093
## Foods_1_CA_1.l6 -1.564e-02 5.540e-02 -0.282 0.777694
## Foods_2_CA_1.l6 -8.293e-03 3.299e-02 -0.251 0.801570
## Foods_3_CA_1.l6 7.070e-04 1.155e-02 0.061 0.951204
## Foods_1_CA_2.l6 -1.687e-02 6.894e-02 -0.245 0.806776
## Foods_2_CA_2.l6 2.572e-02 5.114e-02 0.503 0.615086
## Foods_3_CA_2.l6 -1.073e-02 1.514e-02 -0.708 0.478802
## Foods_1_CA_3.l6 4.382e-02 4.430e-02 0.989 0.322781
## Foods_2_CA_3.l6 -2.717e-04 2.241e-02 -0.012 0.990328
## Foods_3_CA_3.l6 6.376e-03 8.765e-03 0.727 0.467057
## Hobbies_CA_1.l7 -1.168e-02 1.979e-02 -0.590 0.555138
## Hobbies_CA_2.l7 -9.162e-03 2.477e-02 -0.370 0.711454
## Hobbies_CA_3.l7 -6.192e-03 1.883e-02 -0.329 0.742309
## Household_1_CA_1.l7 7.783e-02 4.627e-02 1.682 0.092680 .
## Household_2_CA_1.l7 -1.540e-01 7.677e-02 -2.006 0.045002 *
## Household_1_CA_2.l7 1.806e-01 4.668e-02 3.868 0.000113 ***
## Household_2_CA_2.l7 1.088e-01 5.827e-02 1.868 0.061957 .
## Household_1_CA_3.l7 1.083e-01 2.993e-02 3.618 0.000305 ***
## Household_2_CA_3.l7 1.264e-02 5.289e-02 0.239 0.811188
## Foods_1_CA_1.l7 -3.916e-02 5.313e-02 -0.737 0.461215
## Foods_2_CA_1.l7 1.229e-03 3.144e-02 0.039 0.968820
## Foods_3_CA_1.l7 3.462e-02 1.116e-02 3.101 0.001960 **
## Foods_1_CA_2.l7 1.021e-01 6.765e-02 1.509 0.131509
## Foods_2_CA_2.l7 -8.998e-03 5.016e-02 -0.179 0.857660
## Foods_3_CA_2.l7 8.375e-03 1.468e-02 0.570 0.568438
## Foods_1_CA_3.l7 -4.784e-02 4.222e-02 -1.133 0.257324
## Foods_2_CA_3.l7 -1.216e-02 2.093e-02 -0.581 0.561352
## Foods_3_CA_3.l7 -7.410e-03 8.219e-03 -0.902 0.367406
## const 7.743e+01 1.622e+01 4.775 1.94e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 46.97 on 1835 degrees of freedom
## Multiple R-Squared: 0.7999, Adjusted R-squared: 0.7861
## F-statistic: 58.2 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Household_2_CA_3:
## =================================================
## Household_2_CA_3 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 8.866e-03 1.040e-02 0.852 0.394112
## Hobbies_CA_2.l1 -8.379e-03 1.329e-02 -0.630 0.528562
## Hobbies_CA_3.l1 -5.217e-05 9.881e-03 -0.005 0.995788
## Household_1_CA_1.l1 -1.313e-02 2.465e-02 -0.533 0.594287
## Household_2_CA_1.l1 1.409e-01 4.057e-02 3.473 0.000527 ***
## Household_1_CA_2.l1 -7.501e-04 2.470e-02 -0.030 0.975777
## Household_2_CA_2.l1 2.361e-02 3.084e-02 0.766 0.443954
## Household_1_CA_3.l1 4.702e-02 1.589e-02 2.959 0.003122 **
## Household_2_CA_3.l1 1.489e-01 2.771e-02 5.373 8.73e-08 ***
## Foods_1_CA_1.l1 4.537e-03 2.818e-02 0.161 0.872103
## Foods_2_CA_1.l1 4.089e-03 1.682e-02 0.243 0.807974
## Foods_3_CA_1.l1 -2.374e-03 5.803e-03 -0.409 0.682563
## Foods_1_CA_2.l1 1.098e-02 3.540e-02 0.310 0.756375
## Foods_2_CA_2.l1 3.594e-03 2.652e-02 0.136 0.892207
## Foods_3_CA_2.l1 1.149e-03 7.722e-03 0.149 0.881723
## Foods_1_CA_3.l1 -2.569e-02 2.254e-02 -1.140 0.254596
## Foods_2_CA_3.l1 -4.061e-03 1.112e-02 -0.365 0.714941
## Foods_3_CA_3.l1 -2.405e-03 4.370e-03 -0.550 0.582218
## Hobbies_CA_1.l2 1.098e-02 1.048e-02 1.048 0.294811
## Hobbies_CA_2.l2 -2.530e-02 1.321e-02 -1.915 0.055675 .
## Hobbies_CA_3.l2 1.434e-02 9.975e-03 1.438 0.150599
## Household_1_CA_1.l2 -5.333e-03 2.499e-02 -0.213 0.831035
## Household_2_CA_1.l2 3.106e-02 4.083e-02 0.761 0.446945
## Household_1_CA_2.l2 -6.333e-02 2.530e-02 -2.503 0.012404 *
## Household_2_CA_2.l2 -3.309e-02 3.108e-02 -1.064 0.287251
## Household_1_CA_3.l2 -2.092e-02 1.649e-02 -1.269 0.204556
## Household_2_CA_3.l2 9.301e-02 2.782e-02 3.343 0.000844 ***
## Foods_1_CA_1.l2 -4.057e-02 2.927e-02 -1.386 0.165935
## Foods_2_CA_1.l2 7.675e-03 1.743e-02 0.440 0.659654
## Foods_3_CA_1.l2 5.911e-04 6.046e-03 0.098 0.922130
## Foods_1_CA_2.l2 2.072e-02 3.641e-02 0.569 0.569383
## Foods_2_CA_2.l2 4.184e-03 2.706e-02 0.155 0.877127
## Foods_3_CA_2.l2 -4.579e-03 7.950e-03 -0.576 0.564754
## Foods_1_CA_3.l2 4.432e-02 2.353e-02 1.883 0.059848 .
## Foods_2_CA_3.l2 4.794e-03 1.190e-02 0.403 0.687001
## Foods_3_CA_3.l2 -1.619e-03 4.650e-03 -0.348 0.727774
## Hobbies_CA_1.l3 -1.268e-02 1.049e-02 -1.208 0.227069
## Hobbies_CA_2.l3 9.480e-03 1.323e-02 0.716 0.473818
## Hobbies_CA_3.l3 9.514e-03 1.001e-02 0.951 0.341817
## Household_1_CA_1.l3 -2.063e-02 2.492e-02 -0.828 0.407876
## Household_2_CA_1.l3 6.040e-02 4.077e-02 1.481 0.138685
## Household_1_CA_2.l3 -4.482e-02 2.552e-02 -1.756 0.079225 .
## Household_2_CA_2.l3 1.131e-02 3.125e-02 0.362 0.717348
## Household_1_CA_3.l3 -7.011e-03 1.661e-02 -0.422 0.672942
## Household_2_CA_3.l3 7.004e-02 2.793e-02 2.507 0.012245 *
## Foods_1_CA_1.l3 -3.748e-03 2.933e-02 -0.128 0.898319
## Foods_2_CA_1.l3 1.163e-02 1.755e-02 0.663 0.507471
## Foods_3_CA_1.l3 -6.498e-03 6.082e-03 -1.068 0.285491
## Foods_1_CA_2.l3 1.912e-02 3.633e-02 0.526 0.598841
## Foods_2_CA_2.l3 -4.161e-03 2.711e-02 -0.153 0.878023
## Foods_3_CA_2.l3 2.572e-03 8.023e-03 0.321 0.748563
## Foods_1_CA_3.l3 8.302e-04 2.348e-02 0.035 0.971793
## Foods_2_CA_3.l3 -1.327e-02 1.191e-02 -1.115 0.265155
## Foods_3_CA_3.l3 6.441e-03 4.667e-03 1.380 0.167725
## Hobbies_CA_1.l4 7.316e-03 1.050e-02 0.697 0.485810
## Hobbies_CA_2.l4 -8.818e-03 1.328e-02 -0.664 0.506723
## Hobbies_CA_3.l4 1.260e-03 9.911e-03 0.127 0.898812
## Household_1_CA_1.l4 -2.553e-03 2.493e-02 -0.102 0.918460
## Household_2_CA_1.l4 -5.976e-02 4.063e-02 -1.471 0.141520
## Household_1_CA_2.l4 1.056e-02 2.567e-02 0.412 0.680722
## Household_2_CA_2.l4 -2.436e-02 3.135e-02 -0.777 0.437302
## Household_1_CA_3.l4 -2.411e-02 1.653e-02 -1.459 0.144731
## Household_2_CA_3.l4 7.779e-02 2.798e-02 2.780 0.005485 **
## Foods_1_CA_1.l4 -4.672e-02 2.930e-02 -1.595 0.110985
## Foods_2_CA_1.l4 -4.187e-03 1.744e-02 -0.240 0.810307
## Foods_3_CA_1.l4 1.084e-03 6.084e-03 0.178 0.858662
## Foods_1_CA_2.l4 6.657e-02 3.645e-02 1.826 0.067953 .
## Foods_2_CA_2.l4 -3.427e-02 2.710e-02 -1.264 0.206231
## Foods_3_CA_2.l4 6.191e-04 7.992e-03 0.077 0.938265
## Foods_1_CA_3.l4 -1.647e-02 2.337e-02 -0.705 0.481068
## Foods_2_CA_3.l4 2.535e-03 1.190e-02 0.213 0.831400
## Foods_3_CA_3.l4 1.392e-03 4.681e-03 0.297 0.766214
## Hobbies_CA_1.l5 8.108e-03 1.050e-02 0.772 0.440087
## Hobbies_CA_2.l5 6.237e-03 1.323e-02 0.471 0.637443
## Hobbies_CA_3.l5 9.526e-04 1.000e-02 0.095 0.924143
## Household_1_CA_1.l5 1.281e-02 2.488e-02 0.515 0.606731
## Household_2_CA_1.l5 1.267e-02 4.073e-02 0.311 0.755761
## Household_1_CA_2.l5 -2.659e-02 2.566e-02 -1.036 0.300177
## Household_2_CA_2.l5 2.143e-02 3.129e-02 0.685 0.493513
## Household_1_CA_3.l5 7.410e-03 1.661e-02 0.446 0.655556
## Household_2_CA_3.l5 7.049e-02 2.802e-02 2.515 0.011973 *
## Foods_1_CA_1.l5 1.529e-02 2.942e-02 0.520 0.603294
## Foods_2_CA_1.l5 4.685e-02 1.750e-02 2.678 0.007474 **
## Foods_3_CA_1.l5 -1.810e-02 6.094e-03 -2.971 0.003007 **
## Foods_1_CA_2.l5 -4.310e-02 3.668e-02 -1.175 0.240150
## Foods_2_CA_2.l5 -4.614e-02 2.712e-02 -1.702 0.089007 .
## Foods_3_CA_2.l5 -1.337e-03 8.011e-03 -0.167 0.867431
## Foods_1_CA_3.l5 -5.425e-03 2.346e-02 -0.231 0.817145
## Foods_2_CA_3.l5 2.512e-04 1.192e-02 0.021 0.983186
## Foods_3_CA_3.l5 5.593e-03 4.681e-03 1.195 0.232314
## Hobbies_CA_1.l6 -1.399e-02 1.050e-02 -1.332 0.183170
## Hobbies_CA_2.l6 -4.454e-03 1.323e-02 -0.337 0.736430
## Hobbies_CA_3.l6 -5.464e-03 1.001e-02 -0.546 0.585228
## Household_1_CA_1.l6 -1.085e-02 2.486e-02 -0.436 0.662610
## Household_2_CA_1.l6 -5.317e-02 4.061e-02 -1.309 0.190587
## Household_1_CA_2.l6 -3.289e-02 2.559e-02 -1.285 0.198856
## Household_2_CA_2.l6 -3.631e-02 3.136e-02 -1.158 0.246960
## Household_1_CA_3.l6 2.227e-02 1.659e-02 1.342 0.179661
## Household_2_CA_3.l6 1.994e-01 2.797e-02 7.130 1.44e-12 ***
## Foods_1_CA_1.l6 -1.082e-03 2.929e-02 -0.037 0.970534
## Foods_2_CA_1.l6 -3.353e-02 1.744e-02 -1.922 0.054706 .
## Foods_3_CA_1.l6 4.800e-03 6.107e-03 0.786 0.432001
## Foods_1_CA_2.l6 1.182e-02 3.645e-02 0.324 0.745792
## Foods_2_CA_2.l6 1.523e-02 2.704e-02 0.563 0.573193
## Foods_3_CA_2.l6 8.595e-03 8.007e-03 1.073 0.283231
## Foods_1_CA_3.l6 3.444e-02 2.342e-02 1.470 0.141619
## Foods_2_CA_3.l6 3.412e-03 1.185e-02 0.288 0.773397
## Foods_3_CA_3.l6 -5.401e-03 4.634e-03 -1.165 0.243977
## Hobbies_CA_1.l7 6.365e-03 1.046e-02 0.608 0.542999
## Hobbies_CA_2.l7 3.577e-03 1.309e-02 0.273 0.784744
## Hobbies_CA_3.l7 -1.159e-02 9.955e-03 -1.164 0.244638
## Household_1_CA_1.l7 2.533e-02 2.446e-02 1.035 0.300599
## Household_2_CA_1.l7 -7.796e-04 4.059e-02 -0.019 0.984678
## Household_1_CA_2.l7 1.054e-01 2.468e-02 4.269 2.06e-05 ***
## Household_2_CA_2.l7 3.480e-02 3.081e-02 1.129 0.258838
## Household_1_CA_3.l7 -1.851e-03 1.582e-02 -0.117 0.906895
## Household_2_CA_3.l7 6.542e-02 2.796e-02 2.340 0.019415 *
## Foods_1_CA_1.l7 -5.641e-02 2.809e-02 -2.008 0.044745 *
## Foods_2_CA_1.l7 -1.283e-02 1.662e-02 -0.772 0.440338
## Foods_3_CA_1.l7 1.975e-02 5.903e-03 3.346 0.000837 ***
## Foods_1_CA_2.l7 -2.339e-03 3.576e-02 -0.065 0.947863
## Foods_2_CA_2.l7 1.006e-02 2.652e-02 0.379 0.704416
## Foods_3_CA_2.l7 5.340e-04 7.762e-03 0.069 0.945154
## Foods_1_CA_3.l7 -2.721e-02 2.232e-02 -1.219 0.223026
## Foods_2_CA_3.l7 -7.587e-04 1.107e-02 -0.069 0.945342
## Foods_3_CA_3.l7 -2.011e-03 4.345e-03 -0.463 0.643607
## const 4.483e+01 8.573e+00 5.229 1.90e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 24.84 on 1835 degrees of freedom
## Multiple R-Squared: 0.6384, Adjusted R-squared: 0.6136
## F-statistic: 25.71 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_1:
## =============================================
## Foods_1_CA_1 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0116934 0.0105942 1.104 0.26984
## Hobbies_CA_2.l1 -0.0110770 0.0135403 -0.818 0.41342
## Hobbies_CA_3.l1 0.0052262 0.0100646 0.519 0.60364
## Household_1_CA_1.l1 0.0344586 0.0251096 1.372 0.17013
## Household_2_CA_1.l1 0.0561804 0.0413232 1.360 0.17414
## Household_1_CA_2.l1 0.0670129 0.0251592 2.664 0.00780 **
## Household_2_CA_2.l1 0.0049149 0.0314109 0.156 0.87568
## Household_1_CA_3.l1 0.0246390 0.0161846 1.522 0.12809
## Household_2_CA_3.l1 -0.0258173 0.0282266 -0.915 0.36050
## Foods_1_CA_1.l1 0.2882994 0.0287032 10.044 < 2e-16 ***
## Foods_2_CA_1.l1 -0.0109000 0.0171348 -0.636 0.52477
## Foods_3_CA_1.l1 -0.0055947 0.0059112 -0.946 0.34404
## Foods_1_CA_2.l1 0.0124448 0.0360571 0.345 0.73003
## Foods_2_CA_2.l1 0.0536889 0.0270140 1.987 0.04702 *
## Foods_3_CA_2.l1 -0.0185672 0.0078652 -2.361 0.01834 *
## Foods_1_CA_3.l1 0.1308969 0.0229569 5.702 1.38e-08 ***
## Foods_2_CA_3.l1 -0.0241684 0.0113226 -2.135 0.03293 *
## Foods_3_CA_3.l1 0.0030452 0.0044513 0.684 0.49399
## Hobbies_CA_1.l2 -0.0021770 0.0106757 -0.204 0.83843
## Hobbies_CA_2.l2 -0.0225416 0.0134594 -1.675 0.09415 .
## Hobbies_CA_3.l2 -0.0104038 0.0101605 -1.024 0.30600
## Household_1_CA_1.l2 -0.0352872 0.0254562 -1.386 0.16586
## Household_2_CA_1.l2 -0.0204186 0.0415865 -0.491 0.62349
## Household_1_CA_2.l2 -0.0235871 0.0257706 -0.915 0.36017
## Household_2_CA_2.l2 -0.0395775 0.0316596 -1.250 0.21142
## Household_1_CA_3.l2 -0.0235065 0.0167917 -1.400 0.16172
## Household_2_CA_3.l2 -0.0306405 0.0283360 -1.081 0.27969
## Foods_1_CA_1.l2 0.0594708 0.0298132 1.995 0.04621 *
## Foods_2_CA_1.l2 -0.0105223 0.0177494 -0.593 0.55337
## Foods_3_CA_1.l2 -0.0019387 0.0061587 -0.315 0.75296
## Foods_1_CA_2.l2 0.0383546 0.0370835 1.034 0.30114
## Foods_2_CA_2.l2 -0.0171586 0.0275590 -0.623 0.53361
## Foods_3_CA_2.l2 -0.0026440 0.0080979 -0.327 0.74408
## Foods_1_CA_3.l2 0.0914636 0.0239710 3.816 0.00014 ***
## Foods_2_CA_3.l2 0.0179815 0.0121168 1.484 0.13798
## Foods_3_CA_3.l2 0.0023113 0.0047368 0.488 0.62565
## Hobbies_CA_1.l3 -0.0088619 0.0106863 -0.829 0.40706
## Hobbies_CA_2.l3 -0.0162349 0.0134786 -1.204 0.22855
## Hobbies_CA_3.l3 0.0125453 0.0101923 1.231 0.21853
## Household_1_CA_1.l3 -0.0230845 0.0253815 -0.910 0.36321
## Household_2_CA_1.l3 0.0134486 0.0415284 0.324 0.74610
## Household_1_CA_2.l3 -0.0259699 0.0259934 -0.999 0.31788
## Household_2_CA_2.l3 0.0090610 0.0318286 0.285 0.77592
## Household_1_CA_3.l3 0.0077642 0.0169148 0.459 0.64628
## Household_2_CA_3.l3 -0.0504868 0.0284504 -1.775 0.07614 .
## Foods_1_CA_1.l3 0.0618770 0.0298737 2.071 0.03847 *
## Foods_2_CA_1.l3 0.0076107 0.0178713 0.426 0.67026
## Foods_3_CA_1.l3 0.0000449 0.0061946 0.007 0.99422
## Foods_1_CA_2.l3 0.0444403 0.0370081 1.201 0.22997
## Foods_2_CA_2.l3 -0.0053985 0.0276090 -0.196 0.84500
## Foods_3_CA_2.l3 -0.0043443 0.0081719 -0.532 0.59506
## Foods_1_CA_3.l3 -0.0036391 0.0239112 -0.152 0.87905
## Foods_2_CA_3.l3 -0.0084451 0.0121262 -0.696 0.48624
## Foods_3_CA_3.l3 0.0047579 0.0047535 1.001 0.31700
## Hobbies_CA_1.l4 0.0118270 0.0106900 1.106 0.26872
## Hobbies_CA_2.l4 -0.0231426 0.0135244 -1.711 0.08722 .
## Hobbies_CA_3.l4 0.0056837 0.0100948 0.563 0.57348
## Household_1_CA_1.l4 -0.0216744 0.0253961 -0.853 0.39352
## Household_2_CA_1.l4 -0.0368374 0.0413856 -0.890 0.37353
## Household_1_CA_2.l4 -0.0269136 0.0261450 -1.029 0.30343
## Household_2_CA_2.l4 -0.0394900 0.0319348 -1.237 0.21640
## Household_1_CA_3.l4 -0.0292276 0.0168326 -1.736 0.08267 .
## Household_2_CA_3.l4 0.0003975 0.0284993 0.014 0.98887
## Foods_1_CA_1.l4 0.0480977 0.0298409 1.612 0.10718
## Foods_2_CA_1.l4 -0.0288711 0.0177635 -1.625 0.10427
## Foods_3_CA_1.l4 0.0032968 0.0061970 0.532 0.59479
## Foods_1_CA_2.l4 0.0565239 0.0371235 1.523 0.12803
## Foods_2_CA_2.l4 -0.0289757 0.0276045 -1.050 0.29401
## Foods_3_CA_2.l4 0.0107808 0.0081403 1.324 0.18554
## Foods_1_CA_3.l4 -0.0391040 0.0238058 -1.643 0.10063
## Foods_2_CA_3.l4 0.0178065 0.0121252 1.469 0.14213
## Foods_3_CA_3.l4 -0.0010068 0.0047676 -0.211 0.83277
## Hobbies_CA_1.l5 0.0033012 0.0106952 0.309 0.75761
## Hobbies_CA_2.l5 -0.0041425 0.0134771 -0.307 0.75860
## Hobbies_CA_3.l5 -0.0048623 0.0101895 -0.477 0.63328
## Household_1_CA_1.l5 0.0197973 0.0253456 0.781 0.43485
## Household_2_CA_1.l5 -0.0040343 0.0414828 -0.097 0.92254
## Household_1_CA_2.l5 -0.0283179 0.0261319 -1.084 0.27866
## Household_2_CA_2.l5 -0.0133337 0.0318661 -0.418 0.67568
## Household_1_CA_3.l5 0.0044166 0.0169173 0.261 0.79407
## Household_2_CA_3.l5 0.0583517 0.0285445 2.044 0.04107 *
## Foods_1_CA_1.l5 0.0556304 0.0299636 1.857 0.06353 .
## Foods_2_CA_1.l5 0.0418861 0.0178213 2.350 0.01886 *
## Foods_3_CA_1.l5 -0.0172203 0.0062067 -2.774 0.00559 **
## Foods_1_CA_2.l5 0.0058588 0.0373610 0.157 0.87541
## Foods_2_CA_2.l5 -0.0290616 0.0276216 -1.052 0.29288
## Foods_3_CA_2.l5 -0.0045230 0.0081596 -0.554 0.57943
## Foods_1_CA_3.l5 -0.0154523 0.0238948 -0.647 0.51792
## Foods_2_CA_3.l5 -0.0094203 0.0121377 -0.776 0.43778
## Foods_3_CA_3.l5 0.0029876 0.0047678 0.627 0.53099
## Hobbies_CA_1.l6 -0.0245194 0.0106979 -2.292 0.02202 *
## Hobbies_CA_2.l6 0.0017971 0.0134763 0.133 0.89393
## Hobbies_CA_3.l6 0.0082406 0.0101950 0.808 0.41902
## Household_1_CA_1.l6 0.0037026 0.0253247 0.146 0.88378
## Household_2_CA_1.l6 -0.0006958 0.0413641 -0.017 0.98658
## Household_1_CA_2.l6 0.0037760 0.0260677 0.145 0.88484
## Household_2_CA_2.l6 -0.0065803 0.0319377 -0.206 0.83679
## Household_1_CA_3.l6 0.0303264 0.0168958 1.795 0.07283 .
## Household_2_CA_3.l6 0.0686701 0.0284896 2.410 0.01603 *
## Foods_1_CA_1.l6 0.0522705 0.0298320 1.752 0.07991 .
## Foods_2_CA_1.l6 -0.0191687 0.0177663 -1.079 0.28076
## Foods_3_CA_1.l6 0.0081430 0.0062203 1.309 0.19066
## Foods_1_CA_2.l6 -0.0787739 0.0371274 -2.122 0.03399 *
## Foods_2_CA_2.l6 0.0082627 0.0275378 0.300 0.76417
## Foods_3_CA_2.l6 0.0008991 0.0081557 0.110 0.91223
## Foods_1_CA_3.l6 -0.0053204 0.0238570 -0.223 0.82355
## Foods_2_CA_3.l6 0.0088905 0.0120687 0.737 0.46143
## Foods_3_CA_3.l6 -0.0097463 0.0047199 -2.065 0.03907 *
## Hobbies_CA_1.l7 0.0045425 0.0106556 0.426 0.66994
## Hobbies_CA_2.l7 0.0021507 0.0133366 0.161 0.87191
## Hobbies_CA_3.l7 0.0019792 0.0101397 0.195 0.84527
## Household_1_CA_1.l7 0.0620673 0.0249150 2.491 0.01282 *
## Household_2_CA_1.l7 0.0085375 0.0413418 0.207 0.83642
## Household_1_CA_2.l7 0.0496349 0.0251374 1.975 0.04847 *
## Household_2_CA_2.l7 0.0756925 0.0313780 2.412 0.01595 *
## Household_1_CA_3.l7 -0.0272344 0.0161154 -1.690 0.09120 .
## Household_2_CA_3.l7 -0.0033232 0.0284837 -0.117 0.90713
## Foods_1_CA_1.l7 -0.0340151 0.0286099 -1.189 0.23462
## Foods_2_CA_1.l7 0.0041720 0.0169311 0.246 0.80539
## Foods_3_CA_1.l7 0.0110733 0.0060121 1.842 0.06566 .
## Foods_1_CA_2.l7 0.0282527 0.0364287 0.776 0.43811
## Foods_2_CA_2.l7 0.0010840 0.0270138 0.040 0.96799
## Foods_3_CA_2.l7 0.0162864 0.0079060 2.060 0.03954 *
## Foods_1_CA_3.l7 -0.0697566 0.0227376 -3.068 0.00219 **
## Foods_2_CA_3.l7 0.0128693 0.0112713 1.142 0.25370
## Foods_3_CA_3.l7 -0.0069886 0.0044259 -1.579 0.11450
## const 62.4949666 8.7326239 7.156 1.19e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 25.3 on 1835 degrees of freedom
## Multiple R-Squared: 0.6212, Adjusted R-squared: 0.5952
## F-statistic: 23.88 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_1:
## =============================================
## Foods_2_CA_1 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0366039 0.0230302 1.589 0.112145
## Hobbies_CA_2.l1 0.0200402 0.0294345 0.681 0.496058
## Hobbies_CA_3.l1 -0.0033625 0.0218789 -0.154 0.877873
## Household_1_CA_1.l1 -0.0132901 0.0545842 -0.243 0.807662
## Household_2_CA_1.l1 0.2027778 0.0898299 2.257 0.024103 *
## Household_1_CA_2.l1 -0.0573952 0.0546921 -1.049 0.294122
## Household_2_CA_2.l1 -0.0167107 0.0682823 -0.245 0.806693
## Household_1_CA_3.l1 0.0345337 0.0351828 0.982 0.326450
## Household_2_CA_3.l1 -0.1939679 0.0613602 -3.161 0.001597 **
## Foods_1_CA_1.l1 0.1370612 0.0623960 2.197 0.028171 *
## Foods_2_CA_1.l1 0.3418064 0.0372483 9.176 < 2e-16 ***
## Foods_3_CA_1.l1 0.0125132 0.0128500 0.974 0.330289
## Foods_1_CA_2.l1 -0.1679905 0.0783822 -2.143 0.032226 *
## Foods_2_CA_2.l1 0.1652348 0.0587240 2.814 0.004949 **
## Foods_3_CA_2.l1 -0.0123688 0.0170976 -0.723 0.469512
## Foods_1_CA_3.l1 -0.0221356 0.0499046 -0.444 0.657414
## Foods_2_CA_3.l1 0.1175575 0.0246135 4.776 1.93e-06 ***
## Foods_3_CA_3.l1 -0.0304918 0.0096763 -3.151 0.001652 **
## Hobbies_CA_1.l2 0.0131915 0.0232073 0.568 0.569821
## Hobbies_CA_2.l2 -0.0629895 0.0292586 -2.153 0.031460 *
## Hobbies_CA_3.l2 0.0205143 0.0220873 0.929 0.353124
## Household_1_CA_1.l2 0.0282661 0.0553377 0.511 0.609558
## Household_2_CA_1.l2 -0.1368742 0.0904023 -1.514 0.130184
## Household_1_CA_2.l2 -0.1609642 0.0560212 -2.873 0.004109 **
## Household_2_CA_2.l2 -0.1732797 0.0688228 -2.518 0.011895 *
## Household_1_CA_3.l2 -0.0440010 0.0365025 -1.205 0.228195
## Household_2_CA_3.l2 0.0193450 0.0615980 0.314 0.753517
## Foods_1_CA_1.l2 -0.0075905 0.0648092 -0.117 0.906778
## Foods_2_CA_1.l2 0.1282695 0.0385844 3.324 0.000904 ***
## Foods_3_CA_1.l2 -0.0380239 0.0133881 -2.840 0.004559 **
## Foods_1_CA_2.l2 0.0455179 0.0806135 0.565 0.572385
## Foods_2_CA_2.l2 -0.0236124 0.0599087 -0.394 0.693524
## Foods_3_CA_2.l2 0.0419492 0.0176036 2.383 0.017274 *
## Foods_1_CA_3.l2 0.0035690 0.0521091 0.068 0.945402
## Foods_2_CA_3.l2 -0.0602342 0.0263400 -2.287 0.022321 *
## Foods_3_CA_3.l2 0.0243476 0.0102971 2.365 0.018158 *
## Hobbies_CA_1.l3 -0.0229787 0.0232304 -0.989 0.322713
## Hobbies_CA_2.l3 -0.0709003 0.0293003 -2.420 0.015626 *
## Hobbies_CA_3.l3 0.0311802 0.0221565 1.407 0.159516
## Household_1_CA_1.l3 0.0404639 0.0551753 0.733 0.463427
## Household_2_CA_1.l3 0.2287348 0.0902760 2.534 0.011368 *
## Household_1_CA_2.l3 0.1616444 0.0565055 2.861 0.004275 **
## Household_2_CA_2.l3 0.0762593 0.0691903 1.102 0.270533
## Household_1_CA_3.l3 -0.0102945 0.0367700 -0.280 0.779532
## Household_2_CA_3.l3 -0.0068725 0.0618465 -0.111 0.911532
## Foods_1_CA_1.l3 0.0278924 0.0649405 0.430 0.667604
## Foods_2_CA_1.l3 0.0684214 0.0388493 1.761 0.078371 .
## Foods_3_CA_1.l3 -0.0267953 0.0134660 -1.990 0.046755 *
## Foods_1_CA_2.l3 -0.0388384 0.0804496 -0.483 0.629319
## Foods_2_CA_2.l3 0.0794019 0.0600176 1.323 0.186008
## Foods_3_CA_2.l3 -0.0124627 0.0177643 -0.702 0.483046
## Foods_1_CA_3.l3 -0.0406430 0.0519792 -0.782 0.434369
## Foods_2_CA_3.l3 -0.0010033 0.0263604 -0.038 0.969644
## Foods_3_CA_3.l3 -0.0101717 0.0103334 -0.984 0.325074
## Hobbies_CA_1.l4 0.0145715 0.0232383 0.627 0.530706
## Hobbies_CA_2.l4 0.0087673 0.0293998 0.298 0.765577
## Hobbies_CA_3.l4 -0.0037194 0.0219445 -0.169 0.865428
## Household_1_CA_1.l4 -0.0528535 0.0552069 -0.957 0.338506
## Household_2_CA_1.l4 -0.1064692 0.0899656 -1.183 0.236787
## Household_1_CA_2.l4 -0.1053381 0.0568350 -1.853 0.063985 .
## Household_2_CA_2.l4 -0.0756927 0.0694212 -1.090 0.275707
## Household_1_CA_3.l4 -0.0029286 0.0365914 -0.080 0.936217
## Household_2_CA_3.l4 0.0300404 0.0619528 0.485 0.627811
## Foods_1_CA_1.l4 -0.0092691 0.0648692 -0.143 0.886393
## Foods_2_CA_1.l4 0.0233032 0.0386149 0.603 0.546266
## Foods_3_CA_1.l4 -0.0004229 0.0134713 -0.031 0.974960
## Foods_1_CA_2.l4 0.0803675 0.0807006 0.996 0.319443
## Foods_2_CA_2.l4 -0.0937104 0.0600078 -1.562 0.118546
## Foods_3_CA_2.l4 0.0222631 0.0176957 1.258 0.208512
## Foods_1_CA_3.l4 0.1276823 0.0517500 2.467 0.013705 *
## Foods_2_CA_3.l4 -0.0071848 0.0263583 -0.273 0.785205
## Foods_3_CA_3.l4 0.0133615 0.0103640 1.289 0.197482
## Hobbies_CA_1.l5 -0.0300053 0.0232497 -1.291 0.197016
## Hobbies_CA_2.l5 0.0138768 0.0292969 0.474 0.635797
## Hobbies_CA_3.l5 0.0028060 0.0221503 0.127 0.899208
## Household_1_CA_1.l5 0.0093674 0.0550973 0.170 0.865016
## Household_2_CA_1.l5 -0.0152446 0.0901769 -0.169 0.865774
## Household_1_CA_2.l5 -0.0281112 0.0568065 -0.495 0.620758
## Household_2_CA_2.l5 -0.0768292 0.0692718 -1.109 0.267533
## Household_1_CA_3.l5 0.0630589 0.0367754 1.715 0.086569 .
## Household_2_CA_3.l5 -0.0460695 0.0620512 -0.742 0.457914
## Foods_1_CA_1.l5 0.1063161 0.0651361 1.632 0.102806
## Foods_2_CA_1.l5 0.0549448 0.0387406 1.418 0.156281
## Foods_3_CA_1.l5 -0.0082971 0.0134925 -0.615 0.538669
## Foods_1_CA_2.l5 -0.0361399 0.0812168 -0.445 0.656386
## Foods_2_CA_2.l5 -0.0592331 0.0600450 -0.986 0.324028
## Foods_3_CA_2.l5 -0.0012838 0.0177377 -0.072 0.942309
## Foods_1_CA_3.l5 -0.0799148 0.0519435 -1.538 0.124100
## Foods_2_CA_3.l5 0.0357750 0.0263853 1.356 0.175308
## Foods_3_CA_3.l5 0.0017379 0.0103645 0.168 0.866855
## Hobbies_CA_1.l6 -0.0114177 0.0232556 -0.491 0.623510
## Hobbies_CA_2.l6 -0.0183589 0.0292954 -0.627 0.530946
## Hobbies_CA_3.l6 0.0065479 0.0221622 0.295 0.767679
## Household_1_CA_1.l6 0.0566251 0.0550517 1.029 0.303813
## Household_2_CA_1.l6 0.1200020 0.0899190 1.335 0.182187
## Household_1_CA_2.l6 0.0049123 0.0566671 0.087 0.930929
## Household_2_CA_2.l6 0.1635179 0.0694274 2.355 0.018616 *
## Household_1_CA_3.l6 -0.0616550 0.0367287 -1.679 0.093388 .
## Household_2_CA_3.l6 0.0871285 0.0619317 1.407 0.159642
## Foods_1_CA_1.l6 0.0059935 0.0648501 0.092 0.926374
## Foods_2_CA_1.l6 0.0516541 0.0386210 1.337 0.181237
## Foods_3_CA_1.l6 -0.0116056 0.0135218 -0.858 0.390846
## Foods_1_CA_2.l6 -0.2071694 0.0807089 -2.567 0.010341 *
## Foods_2_CA_2.l6 -0.0002993 0.0598627 -0.005 0.996011
## Foods_3_CA_2.l6 0.0104624 0.0177292 0.590 0.555182
## Foods_1_CA_3.l6 -0.0612844 0.0518613 -1.182 0.237479
## Foods_2_CA_3.l6 -0.0173084 0.0262354 -0.660 0.509508
## Foods_3_CA_3.l6 0.0042240 0.0102604 0.412 0.680623
## Hobbies_CA_1.l7 0.0030481 0.0231637 0.132 0.895323
## Hobbies_CA_2.l7 0.0144253 0.0289916 0.498 0.618847
## Hobbies_CA_3.l7 0.0033875 0.0220420 0.154 0.877878
## Household_1_CA_1.l7 0.1104296 0.0541611 2.039 0.041602 *
## Household_2_CA_1.l7 0.0414647 0.0898704 0.461 0.644578
## Household_1_CA_2.l7 0.2087296 0.0546447 3.820 0.000138 ***
## Household_2_CA_2.l7 0.0762047 0.0682107 1.117 0.264057
## Household_1_CA_3.l7 -0.0274623 0.0350322 -0.784 0.433190
## Household_2_CA_3.l7 0.0849994 0.0619189 1.373 0.169996
## Foods_1_CA_1.l7 -0.1424532 0.0621932 -2.290 0.022106 *
## Foods_2_CA_1.l7 0.1173230 0.0368054 3.188 0.001458 **
## Foods_3_CA_1.l7 0.0353072 0.0130694 2.702 0.006966 **
## Foods_1_CA_2.l7 -0.0737482 0.0791901 -0.931 0.351831
## Foods_2_CA_2.l7 -0.0576381 0.0587236 -0.982 0.326468
## Foods_3_CA_2.l7 0.0292951 0.0171865 1.705 0.088449 .
## Foods_1_CA_3.l7 -0.0816324 0.0494279 -1.652 0.098799 .
## Foods_2_CA_3.l7 0.0246740 0.0245020 1.007 0.314058
## Foods_3_CA_3.l7 -0.0188366 0.0096213 -1.958 0.050404 .
## const 25.1365062 18.9833133 1.324 0.185622
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 54.99 on 1835 degrees of freedom
## Multiple R-Squared: 0.7279, Adjusted R-squared: 0.7092
## F-statistic: 38.95 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_1:
## =============================================
## Foods_3_CA_1 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.098460 0.086847 1.134 0.257058
## Hobbies_CA_2.l1 0.020758 0.110997 0.187 0.851670
## Hobbies_CA_3.l1 -0.014045 0.082505 -0.170 0.864851
## Household_1_CA_1.l1 0.062747 0.205837 0.305 0.760523
## Household_2_CA_1.l1 1.000460 0.338748 2.953 0.003183 **
## Household_1_CA_2.l1 -0.206870 0.206244 -1.003 0.315974
## Household_2_CA_2.l1 -0.005784 0.257492 -0.022 0.982080
## Household_1_CA_3.l1 0.156876 0.132674 1.182 0.237192
## Household_2_CA_3.l1 -0.599902 0.231389 -2.593 0.009601 **
## Foods_1_CA_1.l1 0.358105 0.235295 1.522 0.128196
## Foods_2_CA_1.l1 0.112185 0.140463 0.799 0.424580
## Foods_3_CA_1.l1 0.320958 0.048457 6.624 4.59e-11 ***
## Foods_1_CA_2.l1 -0.781298 0.295579 -2.643 0.008281 **
## Foods_2_CA_2.l1 0.249874 0.221448 1.128 0.259312
## Foods_3_CA_2.l1 0.062623 0.064475 0.971 0.331539
## Foods_1_CA_3.l1 0.045170 0.188190 0.240 0.810341
## Foods_2_CA_3.l1 0.044955 0.092818 0.484 0.628206
## Foods_3_CA_3.l1 -0.006984 0.036489 -0.191 0.848244
## Hobbies_CA_1.l2 0.033158 0.087515 0.379 0.704813
## Hobbies_CA_2.l2 -0.298851 0.110334 -2.709 0.006819 **
## Hobbies_CA_3.l2 0.141810 0.083291 1.703 0.088815 .
## Household_1_CA_1.l2 0.233191 0.208678 1.117 0.263941
## Household_2_CA_1.l2 -0.541648 0.340907 -1.589 0.112267
## Household_1_CA_2.l2 -0.941184 0.211256 -4.455 8.89e-06 ***
## Household_2_CA_2.l2 -0.760082 0.259530 -2.929 0.003446 **
## Household_1_CA_3.l2 -0.304273 0.137651 -2.210 0.027195 *
## Household_2_CA_3.l2 -0.057922 0.232286 -0.249 0.803113
## Foods_1_CA_1.l2 -0.151392 0.244395 -0.619 0.535693
## Foods_2_CA_1.l2 0.007693 0.145501 0.053 0.957837
## Foods_3_CA_1.l2 -0.006760 0.050486 -0.134 0.893492
## Foods_1_CA_2.l2 0.421392 0.303993 1.386 0.165857
## Foods_2_CA_2.l2 -0.092674 0.225915 -0.410 0.681696
## Foods_3_CA_2.l2 0.085798 0.066383 1.292 0.196357
## Foods_1_CA_3.l2 0.133168 0.196503 0.678 0.498054
## Foods_2_CA_3.l2 -0.094877 0.099328 -0.955 0.339607
## Foods_3_CA_3.l2 0.096398 0.038830 2.483 0.013133 *
## Hobbies_CA_1.l3 -0.138704 0.087602 -1.583 0.113514
## Hobbies_CA_2.l3 -0.168377 0.110491 -1.524 0.127707
## Hobbies_CA_3.l3 0.005384 0.083552 0.064 0.948628
## Household_1_CA_1.l3 0.018471 0.208066 0.089 0.929271
## Household_2_CA_1.l3 0.806578 0.340430 2.369 0.017925 *
## Household_1_CA_2.l3 0.334294 0.213082 1.569 0.116855
## Household_2_CA_2.l3 0.059494 0.260916 0.228 0.819656
## Household_1_CA_3.l3 -0.031615 0.138659 -0.228 0.819667
## Household_2_CA_3.l3 -0.199238 0.233223 -0.854 0.393061
## Foods_1_CA_1.l3 0.053730 0.244890 0.219 0.826358
## Foods_2_CA_1.l3 0.184847 0.146501 1.262 0.207200
## Foods_3_CA_1.l3 -0.069075 0.050780 -1.360 0.173911
## Foods_1_CA_2.l3 0.647964 0.303375 2.136 0.032824 *
## Foods_2_CA_2.l3 0.212134 0.226326 0.937 0.348730
## Foods_3_CA_2.l3 -0.069918 0.066989 -1.044 0.296756
## Foods_1_CA_3.l3 0.107404 0.196013 0.548 0.583796
## Foods_2_CA_3.l3 -0.042971 0.099405 -0.432 0.665583
## Foods_3_CA_3.l3 -0.019339 0.038967 -0.496 0.619747
## Hobbies_CA_1.l4 0.138426 0.087632 1.580 0.114363
## Hobbies_CA_2.l4 -0.009580 0.110867 -0.086 0.931153
## Hobbies_CA_3.l4 0.050302 0.082753 0.608 0.543359
## Household_1_CA_1.l4 -0.384129 0.208185 -1.845 0.065179 .
## Household_2_CA_1.l4 -0.452492 0.339260 -1.334 0.182447
## Household_1_CA_2.l4 -0.187490 0.214324 -0.875 0.381799
## Household_2_CA_2.l4 -0.575740 0.261787 -2.199 0.027983 *
## Household_1_CA_3.l4 0.081776 0.137986 0.593 0.553496
## Household_2_CA_3.l4 0.056927 0.233623 0.244 0.807515
## Foods_1_CA_1.l4 -0.174066 0.244621 -0.712 0.476818
## Foods_2_CA_1.l4 -0.263243 0.145617 -1.808 0.070804 .
## Foods_3_CA_1.l4 0.080380 0.050800 1.582 0.113756
## Foods_1_CA_2.l4 0.162499 0.304321 0.534 0.593426
## Foods_2_CA_2.l4 -0.322087 0.226289 -1.423 0.154806
## Foods_3_CA_2.l4 0.061894 0.066730 0.928 0.353775
## Foods_1_CA_3.l4 0.019536 0.195149 0.100 0.920271
## Foods_2_CA_3.l4 0.012753 0.099397 0.128 0.897926
## Foods_3_CA_3.l4 0.046441 0.039083 1.188 0.234881
## Hobbies_CA_1.l5 -0.037262 0.087674 -0.425 0.670880
## Hobbies_CA_2.l5 0.150398 0.110479 1.361 0.173577
## Hobbies_CA_3.l5 0.059769 0.083529 0.716 0.474361
## Household_1_CA_1.l5 0.251527 0.207771 1.211 0.226207
## Household_2_CA_1.l5 -0.115803 0.340056 -0.341 0.733488
## Household_1_CA_2.l5 -0.345015 0.214217 -1.611 0.107442
## Household_2_CA_2.l5 -0.262222 0.261224 -1.004 0.315596
## Household_1_CA_3.l5 0.199968 0.138680 1.442 0.149489
## Household_2_CA_3.l5 -0.019818 0.233995 -0.085 0.932512
## Foods_1_CA_1.l5 0.371993 0.245628 1.514 0.130082
## Foods_2_CA_1.l5 0.215420 0.146091 1.475 0.140501
## Foods_3_CA_1.l5 -0.062615 0.050880 -1.231 0.218617
## Foods_1_CA_2.l5 0.047162 0.306268 0.154 0.877635
## Foods_2_CA_2.l5 -0.089571 0.226429 -0.396 0.692461
## Foods_3_CA_2.l5 -0.041418 0.066889 -0.619 0.535854
## Foods_1_CA_3.l5 -0.287263 0.195878 -1.467 0.142673
## Foods_2_CA_3.l5 0.077637 0.099499 0.780 0.435325
## Foods_3_CA_3.l5 0.011082 0.039084 0.284 0.776804
## Hobbies_CA_1.l6 -0.215489 0.087697 -2.457 0.014094 *
## Hobbies_CA_2.l6 0.096837 0.110473 0.877 0.380836
## Hobbies_CA_3.l6 -0.007517 0.083573 -0.090 0.928337
## Household_1_CA_1.l6 0.015153 0.207600 0.073 0.941820
## Household_2_CA_1.l6 0.169416 0.339084 0.500 0.617396
## Household_1_CA_2.l6 -0.114595 0.213691 -0.536 0.591841
## Household_2_CA_2.l6 0.395782 0.261810 1.512 0.130779
## Household_1_CA_3.l6 -0.031826 0.138504 -0.230 0.818282
## Household_2_CA_3.l6 0.439489 0.233544 1.882 0.060018 .
## Foods_1_CA_1.l6 0.169454 0.244549 0.693 0.488444
## Foods_2_CA_1.l6 -0.172112 0.145639 -1.182 0.237450
## Foods_3_CA_1.l6 0.126718 0.050991 2.485 0.013039 *
## Foods_1_CA_2.l6 -0.745367 0.304353 -2.449 0.014417 *
## Foods_2_CA_2.l6 -0.187408 0.225742 -0.830 0.406541
## Foods_3_CA_2.l6 0.018568 0.066857 0.278 0.781253
## Foods_1_CA_3.l6 0.019346 0.195569 0.099 0.921211
## Foods_2_CA_3.l6 0.018674 0.098934 0.189 0.850311
## Foods_3_CA_3.l6 -0.035211 0.038692 -0.910 0.362916
## Hobbies_CA_1.l7 -0.052458 0.087350 -0.601 0.548218
## Hobbies_CA_2.l7 0.022101 0.109327 0.202 0.839820
## Hobbies_CA_3.l7 0.048605 0.083120 0.585 0.558782
## Household_1_CA_1.l7 0.519355 0.204241 2.543 0.011077 *
## Household_2_CA_1.l7 0.134891 0.338901 0.398 0.690659
## Household_1_CA_2.l7 1.202089 0.206065 5.834 6.40e-09 ***
## Household_2_CA_2.l7 0.720531 0.257222 2.801 0.005145 **
## Household_1_CA_3.l7 -0.227827 0.132106 -1.725 0.084773 .
## Household_2_CA_3.l7 0.344397 0.233496 1.475 0.140394
## Foods_1_CA_1.l7 -0.811000 0.234530 -3.458 0.000557 ***
## Foods_2_CA_1.l7 0.086822 0.138793 0.626 0.531687
## Foods_3_CA_1.l7 0.261719 0.049285 5.310 1.23e-07 ***
## Foods_1_CA_2.l7 -0.169622 0.298625 -0.568 0.570098
## Foods_2_CA_2.l7 -0.200296 0.221446 -0.904 0.365855
## Foods_3_CA_2.l7 0.128480 0.064810 1.982 0.047583 *
## Foods_1_CA_3.l7 -0.607566 0.186392 -3.260 0.001136 **
## Foods_2_CA_3.l7 0.105170 0.092397 1.138 0.255167
## Foods_3_CA_3.l7 -0.064877 0.036282 -1.788 0.073919 .
## const 299.284314 71.585949 4.181 3.04e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 207.4 on 1835 degrees of freedom
## Multiple R-Squared: 0.7954, Adjusted R-squared: 0.7813
## F-statistic: 56.61 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_2:
## =============================================
## Foods_1_CA_2 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.0121817 0.0074776 1.629 0.103466
## Hobbies_CA_2.l1 -0.0067904 0.0095571 -0.711 0.477475
## Hobbies_CA_3.l1 0.0009464 0.0071038 0.133 0.894034
## Household_1_CA_1.l1 -0.0146879 0.0177229 -0.829 0.407353
## Household_2_CA_1.l1 0.0315384 0.0291668 1.081 0.279701
## Household_1_CA_2.l1 0.0079653 0.0177580 0.449 0.653811
## Household_2_CA_2.l1 0.0460653 0.0221705 2.078 0.037869 *
## Household_1_CA_3.l1 0.0195044 0.0114235 1.707 0.087918 .
## Household_2_CA_3.l1 -0.0324867 0.0199230 -1.631 0.103143
## Foods_1_CA_1.l1 0.0155563 0.0202593 0.768 0.442671
## Foods_2_CA_1.l1 0.0052505 0.0120941 0.434 0.664242
## Foods_3_CA_1.l1 -0.0152889 0.0041722 -3.664 0.000255 ***
## Foods_1_CA_2.l1 0.2528743 0.0254499 9.936 < 2e-16 ***
## Foods_2_CA_2.l1 0.0467858 0.0190671 2.454 0.014230 *
## Foods_3_CA_2.l1 0.0170493 0.0055514 3.071 0.002163 **
## Foods_1_CA_3.l1 -0.0054482 0.0162035 -0.336 0.736731
## Foods_2_CA_3.l1 -0.0053814 0.0079918 -0.673 0.500796
## Foods_3_CA_3.l1 -0.0038269 0.0031418 -1.218 0.223353
## Hobbies_CA_1.l2 0.0012817 0.0075352 0.170 0.864955
## Hobbies_CA_2.l2 -0.0153984 0.0094999 -1.621 0.105213
## Hobbies_CA_3.l2 0.0079236 0.0071715 1.105 0.269357
## Household_1_CA_1.l2 0.0007138 0.0179676 0.040 0.968317
## Household_2_CA_1.l2 -0.0005497 0.0293527 -0.019 0.985060
## Household_1_CA_2.l2 -0.0033728 0.0181895 -0.185 0.852917
## Household_2_CA_2.l2 -0.0138777 0.0223460 -0.621 0.534652
## Household_1_CA_3.l2 0.0054204 0.0118520 0.457 0.647480
## Household_2_CA_3.l2 0.0066136 0.0200002 0.331 0.740928
## Foods_1_CA_1.l2 0.0275151 0.0210428 1.308 0.191182
## Foods_2_CA_1.l2 -0.0131452 0.0125279 -1.049 0.294191
## Foods_3_CA_1.l2 0.0046826 0.0043470 1.077 0.281532
## Foods_1_CA_2.l2 0.0478795 0.0261743 1.829 0.067524 .
## Foods_2_CA_2.l2 -0.0113549 0.0194517 -0.584 0.559461
## Foods_3_CA_2.l2 -0.0112695 0.0057157 -1.972 0.048797 *
## Foods_1_CA_3.l2 0.0340849 0.0169193 2.015 0.044096 *
## Foods_2_CA_3.l2 0.0118405 0.0085523 1.384 0.166380
## Foods_3_CA_3.l2 0.0004000 0.0033434 0.120 0.904790
## Hobbies_CA_1.l3 0.0100880 0.0075427 1.337 0.181236
## Hobbies_CA_2.l3 -0.0133806 0.0095135 -1.406 0.159749
## Hobbies_CA_3.l3 0.0004577 0.0071940 0.064 0.949273
## Household_1_CA_1.l3 -0.0384286 0.0179148 -2.145 0.032078 *
## Household_2_CA_1.l3 0.0489348 0.0293117 1.669 0.095196 .
## Household_1_CA_2.l3 0.0075773 0.0183467 0.413 0.679650
## Household_2_CA_2.l3 0.0159265 0.0224653 0.709 0.478454
## Household_1_CA_3.l3 0.0031572 0.0119388 0.264 0.791464
## Household_2_CA_3.l3 -0.0237460 0.0200809 -1.183 0.237155
## Foods_1_CA_1.l3 -0.0342437 0.0210855 -1.624 0.104539
## Foods_2_CA_1.l3 0.0028523 0.0126140 0.226 0.821134
## Foods_3_CA_1.l3 0.0028679 0.0043723 0.656 0.511948
## Foods_1_CA_2.l3 0.0149888 0.0261211 0.574 0.566160
## Foods_2_CA_2.l3 -0.0042153 0.0194871 -0.216 0.828768
## Foods_3_CA_2.l3 -0.0017853 0.0057679 -0.310 0.756962
## Foods_1_CA_3.l3 0.0116371 0.0168771 0.690 0.490581
## Foods_2_CA_3.l3 -0.0135610 0.0085589 -1.584 0.113268
## Foods_3_CA_3.l3 0.0022147 0.0033551 0.660 0.509280
## Hobbies_CA_1.l4 0.0024354 0.0075452 0.323 0.746901
## Hobbies_CA_2.l4 -0.0011210 0.0095458 -0.117 0.906528
## Hobbies_CA_3.l4 0.0106678 0.0071251 1.497 0.134511
## Household_1_CA_1.l4 -0.0276203 0.0179251 -1.541 0.123520
## Household_2_CA_1.l4 -0.0192506 0.0292109 -0.659 0.509964
## Household_1_CA_2.l4 0.0115959 0.0184537 0.628 0.529834
## Household_2_CA_2.l4 -0.0614518 0.0225403 -2.726 0.006466 **
## Household_1_CA_3.l4 -0.0066268 0.0118808 -0.558 0.577066
## Household_2_CA_3.l4 -0.0159062 0.0201154 -0.791 0.429194
## Foods_1_CA_1.l4 0.0368504 0.0210623 1.750 0.080357 .
## Foods_2_CA_1.l4 -0.0137777 0.0125379 -1.099 0.271960
## Foods_3_CA_1.l4 0.0095597 0.0043740 2.186 0.028973 *
## Foods_1_CA_2.l4 0.0152232 0.0262026 0.581 0.561325
## Foods_2_CA_2.l4 -0.0245407 0.0194839 -1.260 0.207996
## Foods_3_CA_2.l4 0.0090692 0.0057456 1.578 0.114632
## Foods_1_CA_3.l4 -0.0144576 0.0168027 -0.860 0.389662
## Foods_2_CA_3.l4 0.0109305 0.0085583 1.277 0.201698
## Foods_3_CA_3.l4 -0.0038746 0.0033651 -1.151 0.249716
## Hobbies_CA_1.l5 -0.0017772 0.0075489 -0.235 0.813906
## Hobbies_CA_2.l5 0.0043231 0.0095124 0.454 0.649544
## Hobbies_CA_3.l5 -0.0174482 0.0071920 -2.426 0.015359 *
## Household_1_CA_1.l5 0.0089761 0.0178895 0.502 0.615901
## Household_2_CA_1.l5 0.0196411 0.0292795 0.671 0.502422
## Household_1_CA_2.l5 0.0010018 0.0184445 0.054 0.956689
## Household_2_CA_2.l5 0.0071989 0.0224918 0.320 0.748953
## Household_1_CA_3.l5 0.0001392 0.0119406 0.012 0.990701
## Household_2_CA_3.l5 0.0396615 0.0201474 1.969 0.049153 *
## Foods_1_CA_1.l5 0.0323425 0.0211490 1.529 0.126370
## Foods_2_CA_1.l5 0.0185386 0.0125787 1.474 0.140704
## Foods_3_CA_1.l5 -0.0070228 0.0043809 -1.603 0.109095
## Foods_1_CA_2.l5 0.0446324 0.0263702 1.693 0.090714 .
## Foods_2_CA_2.l5 -0.0074303 0.0194960 -0.381 0.703157
## Foods_3_CA_2.l5 -0.0085546 0.0057592 -1.485 0.137618
## Foods_1_CA_3.l5 -0.0212503 0.0168655 -1.260 0.207834
## Foods_2_CA_3.l5 -0.0017914 0.0085670 -0.209 0.834391
## Foods_3_CA_3.l5 0.0010428 0.0033652 0.310 0.756690
## Hobbies_CA_1.l6 -0.0040901 0.0075508 -0.542 0.588109
## Hobbies_CA_2.l6 -0.0103517 0.0095119 -1.088 0.276609
## Hobbies_CA_3.l6 -0.0001238 0.0071958 -0.017 0.986271
## Household_1_CA_1.l6 0.0115319 0.0178747 0.645 0.518910
## Household_2_CA_1.l6 0.0630650 0.0291957 2.160 0.030896 *
## Household_1_CA_2.l6 -0.0234817 0.0183992 -1.276 0.202033
## Household_2_CA_2.l6 -0.0192467 0.0225423 -0.854 0.393325
## Household_1_CA_3.l6 0.0114723 0.0119254 0.962 0.336174
## Household_2_CA_3.l6 -0.0033130 0.0201086 -0.165 0.869155
## Foods_1_CA_1.l6 -0.0019366 0.0210561 -0.092 0.926729
## Foods_2_CA_1.l6 -0.0005986 0.0125398 -0.048 0.961934
## Foods_3_CA_1.l6 0.0011789 0.0043904 0.269 0.788326
## Foods_1_CA_2.l6 0.1852050 0.0262053 7.067 2.23e-12 ***
## Foods_2_CA_2.l6 0.0230851 0.0194368 1.188 0.235106
## Foods_3_CA_2.l6 -0.0044011 0.0057565 -0.765 0.444640
## Foods_1_CA_3.l6 -0.0025316 0.0168388 -0.150 0.880509
## Foods_2_CA_3.l6 -0.0053530 0.0085184 -0.628 0.529813
## Foods_3_CA_3.l6 -0.0001617 0.0033314 -0.049 0.961286
## Hobbies_CA_1.l7 -0.0093304 0.0075210 -1.241 0.214921
## Hobbies_CA_2.l7 0.0007956 0.0094133 0.085 0.932655
## Hobbies_CA_3.l7 0.0099273 0.0071568 1.387 0.165577
## Household_1_CA_1.l7 0.0374801 0.0175855 2.131 0.033197 *
## Household_2_CA_1.l7 -0.0115012 0.0291800 -0.394 0.693519
## Household_1_CA_2.l7 0.0495081 0.0177425 2.790 0.005319 **
## Household_2_CA_2.l7 -0.0022311 0.0221473 -0.101 0.919768
## Household_1_CA_3.l7 -0.0194548 0.0113746 -1.710 0.087365 .
## Household_2_CA_3.l7 0.0057694 0.0201044 0.287 0.774166
## Foods_1_CA_1.l7 -0.0852359 0.0201935 -4.221 2.55e-05 ***
## Foods_2_CA_1.l7 -0.0171759 0.0119503 -1.437 0.150811
## Foods_3_CA_1.l7 0.0054428 0.0042435 1.283 0.199785
## Foods_1_CA_2.l7 0.3007774 0.0257122 11.698 < 2e-16 ***
## Foods_2_CA_2.l7 0.0097413 0.0190669 0.511 0.609481
## Foods_3_CA_2.l7 0.0174275 0.0055803 3.123 0.001818 **
## Foods_1_CA_3.l7 -0.0012752 0.0160487 -0.079 0.936679
## Foods_2_CA_3.l7 0.0067634 0.0079555 0.850 0.395352
## Foods_3_CA_3.l7 -0.0064009 0.0031239 -2.049 0.040604 *
## const -2.2962036 6.1636798 -0.373 0.709536
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 17.85 on 1835 degrees of freedom
## Multiple R-Squared: 0.9031, Adjusted R-squared: 0.8965
## F-statistic: 135.8 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_2:
## =============================================
## Foods_2_CA_2 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 1.178e-02 1.322e-02 0.891 0.372948
## Hobbies_CA_2.l1 1.494e-02 1.690e-02 0.884 0.376804
## Hobbies_CA_3.l1 -1.179e-02 1.256e-02 -0.938 0.348303
## Household_1_CA_1.l1 -3.331e-02 3.134e-02 -1.063 0.288068
## Household_2_CA_1.l1 1.096e-01 5.158e-02 2.125 0.033692 *
## Household_1_CA_2.l1 -4.558e-02 3.140e-02 -1.451 0.146879
## Household_2_CA_2.l1 -1.613e-02 3.921e-02 -0.411 0.680910
## Household_1_CA_3.l1 -5.262e-04 2.020e-02 -0.026 0.979225
## Household_2_CA_3.l1 -1.860e-02 3.523e-02 -0.528 0.597578
## Foods_1_CA_1.l1 4.014e-02 3.583e-02 1.120 0.262667
## Foods_2_CA_1.l1 5.556e-02 2.139e-02 2.598 0.009460 **
## Foods_3_CA_1.l1 -1.044e-02 7.378e-03 -1.416 0.157067
## Foods_1_CA_2.l1 -5.303e-02 4.501e-02 -1.178 0.238835
## Foods_2_CA_2.l1 2.950e-01 3.372e-02 8.748 < 2e-16 ***
## Foods_3_CA_2.l1 1.178e-02 9.817e-03 1.200 0.230186
## Foods_1_CA_3.l1 -7.159e-02 2.866e-02 -2.498 0.012560 *
## Foods_2_CA_3.l1 2.310e-02 1.413e-02 1.635 0.102308
## Foods_3_CA_3.l1 -6.177e-03 5.556e-03 -1.112 0.266394
## Hobbies_CA_1.l2 5.891e-03 1.333e-02 0.442 0.658465
## Hobbies_CA_2.l2 -3.361e-02 1.680e-02 -2.001 0.045579 *
## Hobbies_CA_3.l2 2.348e-03 1.268e-02 0.185 0.853144
## Household_1_CA_1.l2 2.469e-02 3.178e-02 0.777 0.437331
## Household_2_CA_1.l2 -5.041e-02 5.191e-02 -0.971 0.331579
## Household_1_CA_2.l2 -5.252e-02 3.217e-02 -1.633 0.102712
## Household_2_CA_2.l2 -8.062e-02 3.952e-02 -2.040 0.041487 *
## Household_1_CA_3.l2 5.500e-03 2.096e-02 0.262 0.793025
## Household_2_CA_3.l2 -5.180e-02 3.537e-02 -1.465 0.143227
## Foods_1_CA_1.l2 -1.437e-02 3.721e-02 -0.386 0.699438
## Foods_2_CA_1.l2 -1.931e-02 2.216e-02 -0.871 0.383596
## Foods_3_CA_1.l2 2.185e-03 7.687e-03 0.284 0.776234
## Foods_1_CA_2.l2 5.196e-03 4.629e-02 0.112 0.910629
## Foods_2_CA_2.l2 5.906e-02 3.440e-02 1.717 0.086157 .
## Foods_3_CA_2.l2 -8.872e-03 1.011e-02 -0.878 0.380210
## Foods_1_CA_3.l2 3.962e-02 2.992e-02 1.324 0.185645
## Foods_2_CA_3.l2 -1.375e-02 1.512e-02 -0.909 0.363436
## Foods_3_CA_3.l2 1.075e-02 5.913e-03 1.818 0.069199 .
## Hobbies_CA_1.l3 2.089e-02 1.334e-02 1.566 0.117542
## Hobbies_CA_2.l3 -3.035e-02 1.682e-02 -1.804 0.071404 .
## Hobbies_CA_3.l3 1.980e-03 1.272e-02 0.156 0.876318
## Household_1_CA_1.l3 1.722e-02 3.168e-02 0.543 0.586934
## Household_2_CA_1.l3 3.418e-02 5.184e-02 0.659 0.509793
## Household_1_CA_2.l3 6.297e-02 3.245e-02 1.941 0.052434 .
## Household_2_CA_2.l3 2.406e-02 3.973e-02 0.605 0.544924
## Household_1_CA_3.l3 -3.029e-02 2.111e-02 -1.435 0.151589
## Household_2_CA_3.l3 -5.769e-02 3.551e-02 -1.625 0.104429
## Foods_1_CA_1.l3 -3.957e-02 3.729e-02 -1.061 0.288777
## Foods_2_CA_1.l3 3.061e-03 2.231e-02 0.137 0.890866
## Foods_3_CA_1.l3 -8.715e-03 7.732e-03 -1.127 0.259827
## Foods_1_CA_2.l3 7.128e-02 4.619e-02 1.543 0.122968
## Foods_2_CA_2.l3 5.164e-02 3.446e-02 1.498 0.134222
## Foods_3_CA_2.l3 -1.349e-02 1.020e-02 -1.322 0.186230
## Foods_1_CA_3.l3 2.171e-02 2.985e-02 0.727 0.467137
## Foods_2_CA_3.l3 6.080e-04 1.514e-02 0.040 0.967964
## Foods_3_CA_3.l3 4.554e-03 5.933e-03 0.768 0.442863
## Hobbies_CA_1.l4 1.680e-02 1.334e-02 1.259 0.208155
## Hobbies_CA_2.l4 -2.659e-02 1.688e-02 -1.575 0.115461
## Hobbies_CA_3.l4 8.304e-05 1.260e-02 0.007 0.994742
## Household_1_CA_1.l4 -6.126e-02 3.170e-02 -1.933 0.053436 .
## Household_2_CA_1.l4 -1.004e-01 5.166e-02 -1.943 0.052143 .
## Household_1_CA_2.l4 7.945e-03 3.263e-02 0.243 0.807683
## Household_2_CA_2.l4 -4.882e-02 3.986e-02 -1.225 0.220802
## Household_1_CA_3.l4 3.678e-02 2.101e-02 1.751 0.080168 .
## Household_2_CA_3.l4 5.851e-03 3.557e-02 0.164 0.869367
## Foods_1_CA_1.l4 1.532e-03 3.725e-02 0.041 0.967191
## Foods_2_CA_1.l4 -5.722e-03 2.217e-02 -0.258 0.796395
## Foods_3_CA_1.l4 6.409e-03 7.735e-03 0.829 0.407447
## Foods_1_CA_2.l4 -1.266e-02 4.634e-02 -0.273 0.784662
## Foods_2_CA_2.l4 1.073e-02 3.446e-02 0.311 0.755557
## Foods_3_CA_2.l4 8.518e-03 1.016e-02 0.838 0.401956
## Foods_1_CA_3.l4 3.316e-03 2.972e-02 0.112 0.911148
## Foods_2_CA_3.l4 1.415e-02 1.514e-02 0.935 0.349967
## Foods_3_CA_3.l4 -6.029e-03 5.951e-03 -1.013 0.311131
## Hobbies_CA_1.l5 -5.060e-03 1.335e-02 -0.379 0.704731
## Hobbies_CA_2.l5 1.908e-02 1.682e-02 1.134 0.256848
## Hobbies_CA_3.l5 6.339e-03 1.272e-02 0.498 0.618257
## Household_1_CA_1.l5 -3.657e-02 3.164e-02 -1.156 0.247822
## Household_2_CA_1.l5 -3.748e-03 5.178e-02 -0.072 0.942300
## Household_1_CA_2.l5 -3.158e-02 3.262e-02 -0.968 0.333058
## Household_2_CA_2.l5 -1.497e-02 3.978e-02 -0.376 0.706659
## Household_1_CA_3.l5 2.474e-02 2.112e-02 1.172 0.241513
## Household_2_CA_3.l5 3.919e-02 3.563e-02 1.100 0.271525
## Foods_1_CA_1.l5 3.693e-02 3.740e-02 0.987 0.323529
## Foods_2_CA_1.l5 2.723e-02 2.225e-02 1.224 0.221082
## Foods_3_CA_1.l5 -2.007e-02 7.747e-03 -2.591 0.009649 **
## Foods_1_CA_2.l5 1.861e-02 4.664e-02 0.399 0.689889
## Foods_2_CA_2.l5 2.694e-03 3.448e-02 0.078 0.937739
## Foods_3_CA_2.l5 2.459e-03 1.019e-02 0.241 0.809235
## Foods_1_CA_3.l5 -7.727e-03 2.983e-02 -0.259 0.795624
## Foods_2_CA_3.l5 8.791e-03 1.515e-02 0.580 0.561804
## Foods_3_CA_3.l5 4.487e-03 5.951e-03 0.754 0.450976
## Hobbies_CA_1.l6 -1.178e-02 1.335e-02 -0.883 0.377615
## Hobbies_CA_2.l6 1.435e-02 1.682e-02 0.853 0.393864
## Hobbies_CA_3.l6 -3.030e-03 1.273e-02 -0.238 0.811841
## Household_1_CA_1.l6 2.191e-03 3.161e-02 0.069 0.944757
## Household_2_CA_1.l6 -2.336e-02 5.163e-02 -0.452 0.650997
## Household_1_CA_2.l6 -4.308e-02 3.254e-02 -1.324 0.185667
## Household_2_CA_2.l6 2.821e-02 3.987e-02 0.708 0.479267
## Household_1_CA_3.l6 1.310e-02 2.109e-02 0.621 0.534717
## Household_2_CA_3.l6 6.878e-02 3.556e-02 1.934 0.053268 .
## Foods_1_CA_1.l6 3.044e-02 3.724e-02 0.817 0.413758
## Foods_2_CA_1.l6 1.080e-02 2.218e-02 0.487 0.626413
## Foods_3_CA_1.l6 3.720e-03 7.764e-03 0.479 0.631884
## Foods_1_CA_2.l6 1.795e-01 4.634e-02 3.874 0.000111 ***
## Foods_2_CA_2.l6 4.003e-02 3.437e-02 1.164 0.244405
## Foods_3_CA_2.l6 4.291e-03 1.018e-02 0.421 0.673447
## Foods_1_CA_3.l6 -1.373e-03 2.978e-02 -0.046 0.963224
## Foods_2_CA_3.l6 -2.457e-02 1.506e-02 -1.631 0.103046
## Foods_3_CA_3.l6 -1.880e-03 5.892e-03 -0.319 0.749639
## Hobbies_CA_1.l7 -2.685e-04 1.330e-02 -0.020 0.983899
## Hobbies_CA_2.l7 1.343e-02 1.665e-02 0.807 0.419904
## Hobbies_CA_3.l7 1.279e-02 1.266e-02 1.010 0.312470
## Household_1_CA_1.l7 2.033e-02 3.110e-02 0.654 0.513446
## Household_2_CA_1.l7 -5.066e-02 5.160e-02 -0.982 0.326326
## Household_1_CA_2.l7 9.573e-02 3.138e-02 3.051 0.002315 **
## Household_2_CA_2.l7 8.615e-02 3.917e-02 2.200 0.027958 *
## Household_1_CA_3.l7 -5.621e-02 2.012e-02 -2.795 0.005251 **
## Household_2_CA_3.l7 6.116e-02 3.555e-02 1.720 0.085582 .
## Foods_1_CA_1.l7 -4.367e-02 3.571e-02 -1.223 0.221567
## Foods_2_CA_1.l7 -3.503e-03 2.113e-02 -0.166 0.868364
## Foods_3_CA_1.l7 1.076e-02 7.504e-03 1.434 0.151757
## Foods_1_CA_2.l7 7.062e-02 4.547e-02 1.553 0.120582
## Foods_2_CA_2.l7 1.326e-01 3.372e-02 3.933 8.69e-05 ***
## Foods_3_CA_2.l7 1.313e-02 9.869e-03 1.331 0.183512
## Foods_1_CA_3.l7 -3.315e-02 2.838e-02 -1.168 0.243018
## Foods_2_CA_3.l7 2.305e-02 1.407e-02 1.639 0.101460
## Foods_3_CA_3.l7 -6.920e-03 5.525e-03 -1.253 0.210514
## const 4.813e+01 1.090e+01 4.416 1.06e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 31.58 on 1835 degrees of freedom
## Multiple R-Squared: 0.7462, Adjusted R-squared: 0.7288
## F-statistic: 42.83 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_2:
## =============================================
## Foods_3_CA_2 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.069235 0.058770 1.178 0.238922
## Hobbies_CA_2.l1 0.084449 0.075113 1.124 0.261037
## Hobbies_CA_3.l1 -0.063426 0.055832 -1.136 0.256102
## Household_1_CA_1.l1 -0.324559 0.139292 -2.330 0.019911 *
## Household_2_CA_1.l1 0.712693 0.229235 3.109 0.001906 **
## Household_1_CA_2.l1 -0.157716 0.139567 -1.130 0.258608
## Household_2_CA_2.l1 -0.044756 0.174248 -0.257 0.797322
## Household_1_CA_3.l1 0.110144 0.089782 1.227 0.220056
## Household_2_CA_3.l1 -0.348030 0.156583 -2.223 0.026361 *
## Foods_1_CA_1.l1 -0.023657 0.159227 -0.149 0.881905
## Foods_2_CA_1.l1 0.070677 0.095053 0.744 0.457243
## Foods_3_CA_1.l1 -0.011754 0.032791 -0.358 0.720048
## Foods_1_CA_2.l1 -0.131884 0.200021 -0.659 0.509755
## Foods_2_CA_2.l1 0.421848 0.149856 2.815 0.004930 **
## Foods_3_CA_2.l1 0.310638 0.043631 7.120 1.55e-12 ***
## Foods_1_CA_3.l1 -0.236829 0.127350 -1.860 0.063092 .
## Foods_2_CA_3.l1 -0.042672 0.062811 -0.679 0.496982
## Foods_3_CA_3.l1 -0.007072 0.024693 -0.286 0.774603
## Hobbies_CA_1.l2 0.056984 0.059222 0.962 0.336068
## Hobbies_CA_2.l2 -0.144985 0.074664 -1.942 0.052311 .
## Hobbies_CA_3.l2 0.013278 0.056364 0.236 0.813781
## Household_1_CA_1.l2 0.144962 0.141215 1.027 0.304775
## Household_2_CA_1.l2 -0.151314 0.230695 -0.656 0.511968
## Household_1_CA_2.l2 -0.552537 0.142959 -3.865 0.000115 ***
## Household_2_CA_2.l2 -0.461997 0.175627 -2.631 0.008596 **
## Household_1_CA_3.l2 -0.087835 0.093150 -0.943 0.345833
## Household_2_CA_3.l2 -0.053191 0.157190 -0.338 0.735112
## Foods_1_CA_1.l2 -0.037328 0.165385 -0.226 0.821459
## Foods_2_CA_1.l2 -0.038320 0.098462 -0.389 0.697181
## Foods_3_CA_1.l2 -0.027727 0.034165 -0.812 0.417152
## Foods_1_CA_2.l2 -0.024037 0.205715 -0.117 0.906996
## Foods_2_CA_2.l2 -0.185592 0.152880 -1.214 0.224913
## Foods_3_CA_2.l2 0.102690 0.044922 2.286 0.022370 *
## Foods_1_CA_3.l2 0.113682 0.132976 0.855 0.392715
## Foods_2_CA_3.l2 -0.034511 0.067216 -0.513 0.607714
## Foods_3_CA_3.l2 0.063283 0.026277 2.408 0.016125 *
## Hobbies_CA_1.l3 0.015047 0.059281 0.254 0.799661
## Hobbies_CA_2.l3 -0.067303 0.074771 -0.900 0.368168
## Hobbies_CA_3.l3 -0.019805 0.056540 -0.350 0.726175
## Household_1_CA_1.l3 0.111214 0.140800 0.790 0.429704
## Household_2_CA_1.l3 0.385588 0.230373 1.674 0.094349 .
## Household_1_CA_2.l3 0.374860 0.144195 2.600 0.009406 **
## Household_2_CA_2.l3 0.030082 0.176565 0.170 0.864734
## Household_1_CA_3.l3 -0.122944 0.093832 -1.310 0.190276
## Household_2_CA_3.l3 -0.064919 0.157824 -0.411 0.680875
## Foods_1_CA_1.l3 -0.047594 0.165720 -0.287 0.773995
## Foods_2_CA_1.l3 0.017023 0.099139 0.172 0.863684
## Foods_3_CA_1.l3 -0.061187 0.034364 -1.781 0.075146 .
## Foods_1_CA_2.l3 0.329495 0.205297 1.605 0.108674
## Foods_2_CA_2.l3 -0.108185 0.153157 -0.706 0.480049
## Foods_3_CA_2.l3 -0.009170 0.045332 -0.202 0.839717
## Foods_1_CA_3.l3 0.086801 0.132644 0.654 0.512942
## Foods_2_CA_3.l3 0.044459 0.067268 0.661 0.508744
## Foods_3_CA_3.l3 0.001342 0.026369 0.051 0.959403
## Hobbies_CA_1.l4 0.028594 0.059301 0.482 0.629731
## Hobbies_CA_2.l4 -0.038886 0.075025 -0.518 0.604307
## Hobbies_CA_3.l4 0.056031 0.056000 1.001 0.317170
## Household_1_CA_1.l4 -0.295273 0.140881 -2.096 0.036228 *
## Household_2_CA_1.l4 -0.370168 0.229581 -1.612 0.107055
## Household_1_CA_2.l4 0.022269 0.145036 0.154 0.877986
## Household_2_CA_2.l4 -0.360291 0.177154 -2.034 0.042118 *
## Household_1_CA_3.l4 0.017976 0.093377 0.193 0.847362
## Household_2_CA_3.l4 -0.158562 0.158096 -1.003 0.316017
## Foods_1_CA_1.l4 0.092371 0.165538 0.558 0.576907
## Foods_2_CA_1.l4 -0.095198 0.098540 -0.966 0.334133
## Foods_3_CA_1.l4 0.046082 0.034377 1.341 0.180248
## Foods_1_CA_2.l4 0.007214 0.205938 0.035 0.972060
## Foods_2_CA_2.l4 -0.162122 0.153132 -1.059 0.289872
## Foods_3_CA_2.l4 0.082502 0.045157 1.827 0.067863 .
## Foods_1_CA_3.l4 -0.072425 0.132059 -0.548 0.583463
## Foods_2_CA_3.l4 0.032784 0.067263 0.487 0.626036
## Foods_3_CA_3.l4 0.003202 0.026448 0.121 0.903637
## Hobbies_CA_1.l5 -0.022423 0.059330 -0.378 0.705517
## Hobbies_CA_2.l5 0.117299 0.074762 1.569 0.116830
## Hobbies_CA_3.l5 -0.021307 0.056525 -0.377 0.706249
## Household_1_CA_1.l5 -0.074616 0.140601 -0.531 0.595695
## Household_2_CA_1.l5 0.065421 0.230120 0.284 0.776219
## Household_1_CA_2.l5 -0.099850 0.144963 -0.689 0.491036
## Household_2_CA_2.l5 -0.229385 0.176773 -1.298 0.194579
## Household_1_CA_3.l5 0.202500 0.093846 2.158 0.031074 *
## Household_2_CA_3.l5 0.101569 0.158347 0.641 0.521323
## Foods_1_CA_1.l5 0.072492 0.166219 0.436 0.662799
## Foods_2_CA_1.l5 0.203565 0.098861 2.059 0.039626 *
## Foods_3_CA_1.l5 -0.117793 0.034431 -3.421 0.000637 ***
## Foods_1_CA_2.l5 -0.019541 0.207255 -0.094 0.924894
## Foods_2_CA_2.l5 -0.183900 0.153227 -1.200 0.230224
## Foods_3_CA_2.l5 0.061494 0.045264 1.359 0.174459
## Foods_1_CA_3.l5 -0.066618 0.132553 -0.503 0.615323
## Foods_2_CA_3.l5 -0.049412 0.067332 -0.734 0.463128
## Foods_3_CA_3.l5 0.028879 0.026449 1.092 0.275032
## Hobbies_CA_1.l6 -0.109765 0.059345 -1.850 0.064533 .
## Hobbies_CA_2.l6 0.043085 0.074758 0.576 0.564467
## Hobbies_CA_3.l6 -0.030345 0.056555 -0.537 0.591635
## Household_1_CA_1.l6 0.020640 0.140485 0.147 0.883210
## Household_2_CA_1.l6 -0.007089 0.229462 -0.031 0.975356
## Household_1_CA_2.l6 -0.008619 0.144607 -0.060 0.952478
## Household_2_CA_2.l6 0.019365 0.177170 0.109 0.912975
## Household_1_CA_3.l6 0.107897 0.093727 1.151 0.249806
## Household_2_CA_3.l6 0.330525 0.158042 2.091 0.036632 *
## Foods_1_CA_1.l6 0.122007 0.165489 0.737 0.461064
## Foods_2_CA_1.l6 0.017832 0.098556 0.181 0.856442
## Foods_3_CA_1.l6 0.074910 0.034506 2.171 0.030065 *
## Foods_1_CA_2.l6 0.408917 0.205959 1.985 0.047245 *
## Foods_2_CA_2.l6 -0.188753 0.152762 -1.236 0.216765
## Foods_3_CA_2.l6 0.070916 0.045243 1.567 0.117177
## Foods_1_CA_3.l6 0.086664 0.132344 0.655 0.512652
## Foods_2_CA_3.l6 0.015346 0.066949 0.229 0.818730
## Foods_3_CA_3.l6 -0.053103 0.026183 -2.028 0.042692 *
## Hobbies_CA_1.l7 0.004640 0.059111 0.079 0.937439
## Hobbies_CA_2.l7 0.031864 0.073983 0.431 0.666743
## Hobbies_CA_3.l7 0.080278 0.056248 1.427 0.153691
## Household_1_CA_1.l7 0.115939 0.138212 0.839 0.401664
## Household_2_CA_1.l7 -0.323197 0.229338 -1.409 0.158927
## Household_1_CA_2.l7 0.807816 0.139446 5.793 8.12e-09 ***
## Household_2_CA_2.l7 0.320493 0.174065 1.841 0.065750 .
## Household_1_CA_3.l7 -0.244138 0.089398 -2.731 0.006376 **
## Household_2_CA_3.l7 0.364947 0.158009 2.310 0.021018 *
## Foods_1_CA_1.l7 -0.506688 0.158709 -3.193 0.001434 **
## Foods_2_CA_1.l7 0.030545 0.093923 0.325 0.745053
## Foods_3_CA_1.l7 0.097416 0.033351 2.921 0.003533 **
## Foods_1_CA_2.l7 0.630232 0.202083 3.119 0.001845 **
## Foods_2_CA_2.l7 -0.112732 0.149855 -0.752 0.451983
## Foods_3_CA_2.l7 0.205219 0.043858 4.679 3.09e-06 ***
## Foods_1_CA_3.l7 -0.100159 0.126134 -0.794 0.427258
## Foods_2_CA_3.l7 0.087630 0.062526 1.401 0.161236
## Foods_3_CA_3.l7 -0.044705 0.024552 -1.821 0.068797 .
## const 223.678813 48.443000 4.617 4.16e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 140.3 on 1835 degrees of freedom
## Multiple R-Squared: 0.8294, Adjusted R-squared: 0.8177
## F-statistic: 70.81 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_1_CA_3:
## =============================================
## Foods_1_CA_3 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 9.486e-03 1.319e-02 0.719 0.47209
## Hobbies_CA_2.l1 -3.313e-02 1.686e-02 -1.965 0.04953 *
## Hobbies_CA_3.l1 -1.601e-02 1.253e-02 -1.277 0.20163
## Household_1_CA_1.l1 -2.808e-02 3.126e-02 -0.898 0.36923
## Household_2_CA_1.l1 -1.698e-02 5.145e-02 -0.330 0.74143
## Household_1_CA_2.l1 5.419e-02 3.132e-02 1.730 0.08377 .
## Household_2_CA_2.l1 7.484e-02 3.911e-02 1.914 0.05580 .
## Household_1_CA_3.l1 2.121e-02 2.015e-02 1.053 0.29259
## Household_2_CA_3.l1 -1.588e-02 3.514e-02 -0.452 0.65131
## Foods_1_CA_1.l1 2.641e-01 3.573e-02 7.390 2.22e-13 ***
## Foods_2_CA_1.l1 -3.759e-03 2.133e-02 -0.176 0.86013
## Foods_3_CA_1.l1 -8.892e-03 7.359e-03 -1.208 0.22708
## Foods_1_CA_2.l1 6.115e-02 4.489e-02 1.362 0.17332
## Foods_2_CA_2.l1 6.879e-02 3.363e-02 2.045 0.04095 *
## Foods_3_CA_2.l1 -2.282e-02 9.792e-03 -2.331 0.01987 *
## Foods_1_CA_3.l1 2.920e-01 2.858e-02 10.216 < 2e-16 ***
## Foods_2_CA_3.l1 -3.692e-02 1.410e-02 -2.619 0.00888 **
## Foods_3_CA_3.l1 7.289e-03 5.542e-03 1.315 0.18859
## Hobbies_CA_1.l2 1.618e-02 1.329e-02 1.217 0.22357
## Hobbies_CA_2.l2 -3.531e-02 1.676e-02 -2.107 0.03525 *
## Hobbies_CA_3.l2 1.159e-02 1.265e-02 0.917 0.35946
## Household_1_CA_1.l2 -6.202e-03 3.169e-02 -0.196 0.84488
## Household_2_CA_1.l2 2.310e-02 5.177e-02 0.446 0.65548
## Household_1_CA_2.l2 -5.921e-02 3.208e-02 -1.846 0.06512 .
## Household_2_CA_2.l2 6.238e-03 3.942e-02 0.158 0.87426
## Household_1_CA_3.l2 -5.067e-02 2.091e-02 -2.424 0.01546 *
## Household_2_CA_3.l2 -5.124e-02 3.528e-02 -1.452 0.14658
## Foods_1_CA_1.l2 7.099e-02 3.712e-02 1.912 0.05597 .
## Foods_2_CA_1.l2 -2.004e-02 2.210e-02 -0.907 0.36466
## Foods_3_CA_1.l2 -2.880e-03 7.667e-03 -0.376 0.70720
## Foods_1_CA_2.l2 -2.633e-02 4.617e-02 -0.570 0.56849
## Foods_2_CA_2.l2 2.125e-02 3.431e-02 0.619 0.53581
## Foods_3_CA_2.l2 -1.028e-02 1.008e-02 -1.019 0.30818
## Foods_1_CA_3.l2 1.285e-01 2.984e-02 4.306 1.75e-05 ***
## Foods_2_CA_3.l2 1.707e-02 1.509e-02 1.131 0.25801
## Foods_3_CA_3.l2 7.959e-03 5.897e-03 1.350 0.17732
## Hobbies_CA_1.l3 -2.604e-04 1.330e-02 -0.020 0.98439
## Hobbies_CA_2.l3 -3.107e-02 1.678e-02 -1.852 0.06423 .
## Hobbies_CA_3.l3 6.747e-03 1.269e-02 0.532 0.59501
## Household_1_CA_1.l3 -5.445e-02 3.160e-02 -1.723 0.08505 .
## Household_2_CA_1.l3 2.130e-02 5.170e-02 0.412 0.68044
## Household_1_CA_2.l3 -1.726e-02 3.236e-02 -0.534 0.59375
## Household_2_CA_2.l3 -3.552e-02 3.963e-02 -0.896 0.37019
## Household_1_CA_3.l3 4.521e-03 2.106e-02 0.215 0.83002
## Household_2_CA_3.l3 -3.939e-02 3.542e-02 -1.112 0.26625
## Foods_1_CA_1.l3 1.017e-02 3.719e-02 0.274 0.78446
## Foods_2_CA_1.l3 3.164e-02 2.225e-02 1.422 0.15520
## Foods_3_CA_1.l3 4.238e-04 7.712e-03 0.055 0.95618
## Foods_1_CA_2.l3 1.139e-01 4.607e-02 2.472 0.01352 *
## Foods_2_CA_2.l3 -2.130e-02 3.437e-02 -0.620 0.53555
## Foods_3_CA_2.l3 2.689e-03 1.017e-02 0.264 0.79158
## Foods_1_CA_3.l3 5.869e-02 2.977e-02 1.972 0.04881 *
## Foods_2_CA_3.l3 4.748e-03 1.510e-02 0.314 0.75319
## Foods_3_CA_3.l3 -3.650e-03 5.918e-03 -0.617 0.53750
## Hobbies_CA_1.l4 2.784e-02 1.331e-02 2.092 0.03661 *
## Hobbies_CA_2.l4 -1.592e-02 1.684e-02 -0.946 0.34443
## Hobbies_CA_3.l4 3.090e-04 1.257e-02 0.025 0.98039
## Household_1_CA_1.l4 -3.102e-02 3.162e-02 -0.981 0.32668
## Household_2_CA_1.l4 -8.621e-02 5.152e-02 -1.673 0.09447 .
## Household_1_CA_2.l4 -2.669e-02 3.255e-02 -0.820 0.41235
## Household_2_CA_2.l4 -7.946e-02 3.976e-02 -1.999 0.04579 *
## Household_1_CA_3.l4 -3.027e-02 2.096e-02 -1.444 0.14883
## Household_2_CA_3.l4 -2.011e-02 3.548e-02 -0.567 0.57095
## Foods_1_CA_1.l4 1.722e-02 3.715e-02 0.464 0.64299
## Foods_2_CA_1.l4 -6.167e-03 2.212e-02 -0.279 0.78040
## Foods_3_CA_1.l4 4.868e-03 7.715e-03 0.631 0.52817
## Foods_1_CA_2.l4 6.434e-02 4.622e-02 1.392 0.16406
## Foods_2_CA_2.l4 -1.792e-02 3.437e-02 -0.521 0.60221
## Foods_3_CA_2.l4 1.631e-02 1.013e-02 1.609 0.10780
## Foods_1_CA_3.l4 2.780e-02 2.964e-02 0.938 0.34837
## Foods_2_CA_3.l4 4.743e-03 1.510e-02 0.314 0.75342
## Foods_3_CA_3.l4 7.567e-03 5.936e-03 1.275 0.20249
## Hobbies_CA_1.l5 1.427e-02 1.332e-02 1.071 0.28416
## Hobbies_CA_2.l5 1.172e-03 1.678e-02 0.070 0.94432
## Hobbies_CA_3.l5 7.761e-03 1.269e-02 0.612 0.54073
## Household_1_CA_1.l5 -2.104e-02 3.155e-02 -0.667 0.50504
## Household_2_CA_1.l5 1.014e-01 5.165e-02 1.964 0.04965 *
## Household_1_CA_2.l5 -2.111e-02 3.253e-02 -0.649 0.51644
## Household_2_CA_2.l5 -7.834e-02 3.967e-02 -1.975 0.04846 *
## Household_1_CA_3.l5 1.014e-02 2.106e-02 0.481 0.63030
## Household_2_CA_3.l5 5.928e-02 3.554e-02 1.668 0.09546 .
## Foods_1_CA_1.l5 -3.327e-02 3.730e-02 -0.892 0.37253
## Foods_2_CA_1.l5 5.400e-02 2.219e-02 2.434 0.01504 *
## Foods_3_CA_1.l5 -2.161e-02 7.727e-03 -2.796 0.00522 **
## Foods_1_CA_2.l5 -6.050e-02 4.651e-02 -1.301 0.19351
## Foods_2_CA_2.l5 -2.235e-02 3.439e-02 -0.650 0.51575
## Foods_3_CA_2.l5 1.736e-03 1.016e-02 0.171 0.86429
## Foods_1_CA_3.l5 5.791e-02 2.975e-02 1.947 0.05173 .
## Foods_2_CA_3.l5 -2.501e-02 1.511e-02 -1.655 0.09813 .
## Foods_3_CA_3.l5 -3.507e-03 5.936e-03 -0.591 0.55470
## Hobbies_CA_1.l6 -1.916e-02 1.332e-02 -1.439 0.15044
## Hobbies_CA_2.l6 -1.773e-03 1.678e-02 -0.106 0.91585
## Hobbies_CA_3.l6 2.493e-02 1.269e-02 1.965 0.04962 *
## Household_1_CA_1.l6 4.061e-02 3.153e-02 1.288 0.19789
## Household_2_CA_1.l6 -2.813e-03 5.150e-02 -0.055 0.95645
## Household_1_CA_2.l6 -4.813e-02 3.245e-02 -1.483 0.13820
## Household_2_CA_2.l6 -4.491e-02 3.976e-02 -1.130 0.25883
## Household_1_CA_3.l6 1.539e-02 2.103e-02 0.732 0.46448
## Household_2_CA_3.l6 7.757e-02 3.547e-02 2.187 0.02886 *
## Foods_1_CA_1.l6 1.993e-02 3.714e-02 0.537 0.59165
## Foods_2_CA_1.l6 -4.436e-03 2.212e-02 -0.201 0.84108
## Foods_3_CA_1.l6 -8.870e-03 7.744e-03 -1.145 0.25219
## Foods_1_CA_2.l6 -1.051e-01 4.622e-02 -2.273 0.02313 *
## Foods_2_CA_2.l6 1.951e-02 3.428e-02 0.569 0.56943
## Foods_3_CA_2.l6 8.990e-03 1.015e-02 0.885 0.37607
## Foods_1_CA_3.l6 1.511e-03 2.970e-02 0.051 0.95943
## Foods_2_CA_3.l6 9.310e-03 1.503e-02 0.620 0.53559
## Foods_3_CA_3.l6 -3.223e-04 5.876e-03 -0.055 0.95626
## Hobbies_CA_1.l7 1.272e-03 1.327e-02 0.096 0.92365
## Hobbies_CA_2.l7 -1.329e-03 1.660e-02 -0.080 0.93621
## Hobbies_CA_3.l7 -4.457e-03 1.262e-02 -0.353 0.72405
## Household_1_CA_1.l7 6.233e-02 3.102e-02 2.009 0.04465 *
## Household_2_CA_1.l7 1.359e-02 5.147e-02 0.264 0.79173
## Household_1_CA_2.l7 1.376e-01 3.130e-02 4.396 1.16e-05 ***
## Household_2_CA_2.l7 6.006e-02 3.906e-02 1.537 0.12436
## Household_1_CA_3.l7 5.603e-03 2.006e-02 0.279 0.78007
## Household_2_CA_3.l7 9.438e-03 3.546e-02 0.266 0.79015
## Foods_1_CA_1.l7 -5.660e-02 3.562e-02 -1.589 0.11223
## Foods_2_CA_1.l7 5.236e-05 2.108e-02 0.002 0.99802
## Foods_3_CA_1.l7 1.951e-02 7.485e-03 2.607 0.00921 **
## Foods_1_CA_2.l7 6.299e-02 4.535e-02 1.389 0.16502
## Foods_2_CA_2.l7 8.837e-03 3.363e-02 0.263 0.79276
## Foods_3_CA_2.l7 -4.985e-03 9.843e-03 -0.506 0.61258
## Foods_1_CA_3.l7 -6.270e-02 2.831e-02 -2.215 0.02688 *
## Foods_2_CA_3.l7 2.914e-02 1.403e-02 2.076 0.03801 *
## Foods_3_CA_3.l7 -1.404e-02 5.510e-03 -2.548 0.01091 *
## const 7.381e+01 1.087e+01 6.789 1.52e-11 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 31.49 on 1835 degrees of freedom
## Multiple R-Squared: 0.5995, Adjusted R-squared: 0.572
## F-statistic: 21.8 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_2_CA_3:
## =============================================
## Foods_2_CA_3 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 0.051086 0.032785 1.558 0.119356
## Hobbies_CA_2.l1 -0.001339 0.041903 -0.032 0.974521
## Hobbies_CA_3.l1 -0.034206 0.031146 -1.098 0.272253
## Household_1_CA_1.l1 -0.021091 0.077705 -0.271 0.786094
## Household_2_CA_1.l1 0.277195 0.127880 2.168 0.030317 *
## Household_1_CA_2.l1 -0.135963 0.077859 -1.746 0.080929 .
## Household_2_CA_2.l1 -0.136118 0.097206 -1.400 0.161588
## Household_1_CA_3.l1 0.024905 0.050086 0.497 0.619077
## Household_2_CA_3.l1 -0.182708 0.087351 -2.092 0.036607 *
## Foods_1_CA_1.l1 0.151271 0.088826 1.703 0.088738 .
## Foods_2_CA_1.l1 0.099139 0.053026 1.870 0.061695 .
## Foods_3_CA_1.l1 -0.008021 0.018293 -0.438 0.661086
## Foods_1_CA_2.l1 -0.103993 0.111584 -0.932 0.351472
## Foods_2_CA_2.l1 0.297768 0.083599 3.562 0.000378 ***
## Foods_3_CA_2.l1 0.015484 0.024340 0.636 0.524740
## Foods_1_CA_3.l1 0.005861 0.071043 0.082 0.934261
## Foods_2_CA_3.l1 0.407180 0.035039 11.621 < 2e-16 ***
## Foods_3_CA_3.l1 -0.014593 0.013775 -1.059 0.289572
## Hobbies_CA_1.l2 0.017141 0.033037 0.519 0.603941
## Hobbies_CA_2.l2 -0.081157 0.041652 -1.948 0.051514 .
## Hobbies_CA_3.l2 -0.008837 0.031443 -0.281 0.778716
## Household_1_CA_1.l2 0.087256 0.078778 1.108 0.268172
## Household_2_CA_1.l2 0.100344 0.128695 0.780 0.435668
## Household_1_CA_2.l2 -0.120697 0.079751 -1.513 0.130343
## Household_2_CA_2.l2 -0.068683 0.097975 -0.701 0.483377
## Household_1_CA_3.l2 -0.081222 0.051964 -1.563 0.118216
## Household_2_CA_3.l2 0.009823 0.087690 0.112 0.910823
## Foods_1_CA_1.l2 0.059727 0.092261 0.647 0.517474
## Foods_2_CA_1.l2 0.029278 0.054928 0.533 0.594084
## Foods_3_CA_1.l2 -0.034806 0.019059 -1.826 0.067981 .
## Foods_1_CA_2.l2 0.052712 0.114760 0.459 0.646056
## Foods_2_CA_2.l2 0.121142 0.085285 1.420 0.155652
## Foods_3_CA_2.l2 -0.043545 0.025060 -1.738 0.082443 .
## Foods_1_CA_3.l2 0.015767 0.074182 0.213 0.831704
## Foods_2_CA_3.l2 0.044856 0.037497 1.196 0.231751
## Foods_3_CA_3.l2 0.030461 0.014659 2.078 0.037849 *
## Hobbies_CA_1.l3 -0.006546 0.033070 -0.198 0.843119
## Hobbies_CA_2.l3 -0.041705 0.041711 -1.000 0.317514
## Hobbies_CA_3.l3 0.027927 0.031542 0.885 0.376048
## Household_1_CA_1.l3 0.046986 0.078547 0.598 0.549789
## Household_2_CA_1.l3 0.236788 0.128516 1.842 0.065565 .
## Household_1_CA_2.l3 0.123642 0.080440 1.537 0.124450
## Household_2_CA_2.l3 -0.013243 0.098498 -0.134 0.893066
## Household_1_CA_3.l3 -0.056017 0.052345 -1.070 0.284692
## Household_2_CA_3.l3 -0.117182 0.088044 -1.331 0.183368
## Foods_1_CA_1.l3 0.073835 0.092448 0.799 0.424589
## Foods_2_CA_1.l3 0.003282 0.055305 0.059 0.952678
## Foods_3_CA_1.l3 -0.029263 0.019170 -1.527 0.127054
## Foods_1_CA_2.l3 0.005918 0.114527 0.052 0.958792
## Foods_2_CA_2.l3 0.003678 0.085440 0.043 0.965667
## Foods_3_CA_2.l3 0.014497 0.025289 0.573 0.566541
## Foods_1_CA_3.l3 -0.037964 0.073997 -0.513 0.607975
## Foods_2_CA_3.l3 0.072013 0.037526 1.919 0.055138 .
## Foods_3_CA_3.l3 -0.002413 0.014710 -0.164 0.869723
## Hobbies_CA_1.l4 0.014034 0.033082 0.424 0.671452
## Hobbies_CA_2.l4 -0.082054 0.041853 -1.961 0.050085 .
## Hobbies_CA_3.l4 -0.033167 0.031240 -1.062 0.288510
## Household_1_CA_1.l4 -0.097558 0.078592 -1.241 0.214643
## Household_2_CA_1.l4 -0.024325 0.128074 -0.190 0.849382
## Household_1_CA_2.l4 0.054157 0.080909 0.669 0.503353
## Household_2_CA_2.l4 -0.123363 0.098827 -1.248 0.212091
## Household_1_CA_3.l4 0.048765 0.052091 0.936 0.349321
## Household_2_CA_3.l4 0.030227 0.088195 0.343 0.731841
## Foods_1_CA_1.l4 -0.146691 0.092347 -1.588 0.112351
## Foods_2_CA_1.l4 0.081971 0.054972 1.491 0.136092
## Foods_3_CA_1.l4 -0.033987 0.019178 -1.772 0.076521 .
## Foods_1_CA_2.l4 0.151449 0.114884 1.318 0.187575
## Foods_2_CA_2.l4 -0.144261 0.085426 -1.689 0.091442 .
## Foods_3_CA_2.l4 0.019727 0.025191 0.783 0.433674
## Foods_1_CA_3.l4 0.043435 0.073670 0.590 0.555542
## Foods_2_CA_3.l4 0.044693 0.037523 1.191 0.233780
## Foods_3_CA_3.l4 0.030123 0.014754 2.042 0.041324 *
## Hobbies_CA_1.l5 -0.058426 0.033098 -1.765 0.077687 .
## Hobbies_CA_2.l5 -0.036033 0.041707 -0.864 0.387718
## Hobbies_CA_3.l5 0.030337 0.031533 0.962 0.336141
## Household_1_CA_1.l5 -0.021419 0.078436 -0.273 0.784829
## Household_2_CA_1.l5 0.174167 0.128374 1.357 0.175041
## Household_1_CA_2.l5 -0.210322 0.080869 -2.601 0.009376 **
## Household_2_CA_2.l5 0.256537 0.098614 2.601 0.009358 **
## Household_1_CA_3.l5 0.058247 0.052353 1.113 0.266033
## Household_2_CA_3.l5 0.032686 0.088335 0.370 0.711406
## Foods_1_CA_1.l5 0.018572 0.092727 0.200 0.841277
## Foods_2_CA_1.l5 0.040876 0.055150 0.741 0.458681
## Foods_3_CA_1.l5 -0.000121 0.019208 -0.006 0.994975
## Foods_1_CA_2.l5 -0.022722 0.115619 -0.197 0.844218
## Foods_2_CA_2.l5 -0.090068 0.085479 -1.054 0.292166
## Foods_3_CA_2.l5 -0.015508 0.025251 -0.614 0.539201
## Foods_1_CA_3.l5 -0.001849 0.073946 -0.025 0.980052
## Foods_2_CA_3.l5 0.037952 0.037562 1.010 0.312439
## Foods_3_CA_3.l5 -0.003389 0.014755 -0.230 0.818347
## Hobbies_CA_1.l6 -0.010883 0.033106 -0.329 0.742391
## Hobbies_CA_2.l6 0.031439 0.041704 0.754 0.451036
## Hobbies_CA_3.l6 -0.039654 0.031550 -1.257 0.208965
## Household_1_CA_1.l6 0.064253 0.078371 0.820 0.412407
## Household_2_CA_1.l6 -0.222664 0.128007 -1.739 0.082120 .
## Household_1_CA_2.l6 0.034177 0.080670 0.424 0.671859
## Household_2_CA_2.l6 -0.062346 0.098836 -0.631 0.528247
## Household_1_CA_3.l6 -0.058700 0.052286 -1.123 0.261728
## Household_2_CA_3.l6 0.092756 0.088165 1.052 0.292904
## Foods_1_CA_1.l6 -0.100737 0.092319 -1.091 0.275336
## Foods_2_CA_1.l6 -0.050082 0.054980 -0.911 0.362462
## Foods_3_CA_1.l6 0.035230 0.019249 1.830 0.067381 .
## Foods_1_CA_2.l6 -0.066374 0.114896 -0.578 0.563544
## Foods_2_CA_2.l6 -0.041228 0.085220 -0.484 0.628594
## Foods_3_CA_2.l6 0.038972 0.025239 1.544 0.122733
## Foods_1_CA_3.l6 0.033079 0.073829 0.448 0.654168
## Foods_2_CA_3.l6 0.015937 0.037348 0.427 0.669631
## Foods_3_CA_3.l6 -0.009203 0.014606 -0.630 0.528710
## Hobbies_CA_1.l7 -0.004488 0.032975 -0.136 0.891757
## Hobbies_CA_2.l7 0.067306 0.041272 1.631 0.103106
## Hobbies_CA_3.l7 -0.018286 0.031379 -0.583 0.560128
## Household_1_CA_1.l7 0.020777 0.077103 0.269 0.787600
## Household_2_CA_1.l7 -0.100951 0.127938 -0.789 0.430176
## Household_1_CA_2.l7 0.298866 0.077791 3.842 0.000126 ***
## Household_2_CA_2.l7 0.013262 0.097104 0.137 0.891379
## Household_1_CA_3.l7 0.020866 0.049871 0.418 0.675706
## Household_2_CA_3.l7 0.061722 0.088147 0.700 0.483877
## Foods_1_CA_1.l7 -0.188334 0.088537 -2.127 0.033539 *
## Foods_2_CA_1.l7 0.049811 0.052396 0.951 0.341901
## Foods_3_CA_1.l7 0.027171 0.018605 1.460 0.144362
## Foods_1_CA_2.l7 -0.061871 0.112734 -0.549 0.583193
## Foods_2_CA_2.l7 -0.122622 0.083598 -1.467 0.142602
## Foods_3_CA_2.l7 0.015720 0.024466 0.643 0.520616
## Foods_1_CA_3.l7 -0.080052 0.070365 -1.138 0.255406
## Foods_2_CA_3.l7 0.176362 0.034881 5.056 4.7e-07 ***
## Foods_3_CA_3.l7 -0.023569 0.013697 -1.721 0.085459 .
## const 80.373230 27.024335 2.974 0.002977 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 78.28 on 1835 degrees of freedom
## Multiple R-Squared: 0.7314, Adjusted R-squared: 0.7129
## F-statistic: 39.65 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
## Estimation results for equation Foods_3_CA_3:
## =============================================
## Foods_3_CA_3 = Hobbies_CA_1.l1 + Hobbies_CA_2.l1 + Hobbies_CA_3.l1 + Household_1_CA_1.l1 + Household_2_CA_1.l1 + Household_1_CA_2.l1 + Household_2_CA_2.l1 + Household_1_CA_3.l1 + Household_2_CA_3.l1 + Foods_1_CA_1.l1 + Foods_2_CA_1.l1 + Foods_3_CA_1.l1 + Foods_1_CA_2.l1 + Foods_2_CA_2.l1 + Foods_3_CA_2.l1 + Foods_1_CA_3.l1 + Foods_2_CA_3.l1 + Foods_3_CA_3.l1 + Hobbies_CA_1.l2 + Hobbies_CA_2.l2 + Hobbies_CA_3.l2 + Household_1_CA_1.l2 + Household_2_CA_1.l2 + Household_1_CA_2.l2 + Household_2_CA_2.l2 + Household_1_CA_3.l2 + Household_2_CA_3.l2 + Foods_1_CA_1.l2 + Foods_2_CA_1.l2 + Foods_3_CA_1.l2 + Foods_1_CA_2.l2 + Foods_2_CA_2.l2 + Foods_3_CA_2.l2 + Foods_1_CA_3.l2 + Foods_2_CA_3.l2 + Foods_3_CA_3.l2 + Hobbies_CA_1.l3 + Hobbies_CA_2.l3 + Hobbies_CA_3.l3 + Household_1_CA_1.l3 + Household_2_CA_1.l3 + Household_1_CA_2.l3 + Household_2_CA_2.l3 + Household_1_CA_3.l3 + Household_2_CA_3.l3 + Foods_1_CA_1.l3 + Foods_2_CA_1.l3 + Foods_3_CA_1.l3 + Foods_1_CA_2.l3 + Foods_2_CA_2.l3 + Foods_3_CA_2.l3 + Foods_1_CA_3.l3 + Foods_2_CA_3.l3 + Foods_3_CA_3.l3 + Hobbies_CA_1.l4 + Hobbies_CA_2.l4 + Hobbies_CA_3.l4 + Household_1_CA_1.l4 + Household_2_CA_1.l4 + Household_1_CA_2.l4 + Household_2_CA_2.l4 + Household_1_CA_3.l4 + Household_2_CA_3.l4 + Foods_1_CA_1.l4 + Foods_2_CA_1.l4 + Foods_3_CA_1.l4 + Foods_1_CA_2.l4 + Foods_2_CA_2.l4 + Foods_3_CA_2.l4 + Foods_1_CA_3.l4 + Foods_2_CA_3.l4 + Foods_3_CA_3.l4 + Hobbies_CA_1.l5 + Hobbies_CA_2.l5 + Hobbies_CA_3.l5 + Household_1_CA_1.l5 + Household_2_CA_1.l5 + Household_1_CA_2.l5 + Household_2_CA_2.l5 + Household_1_CA_3.l5 + Household_2_CA_3.l5 + Foods_1_CA_1.l5 + Foods_2_CA_1.l5 + Foods_3_CA_1.l5 + Foods_1_CA_2.l5 + Foods_2_CA_2.l5 + Foods_3_CA_2.l5 + Foods_1_CA_3.l5 + Foods_2_CA_3.l5 + Foods_3_CA_3.l5 + Hobbies_CA_1.l6 + Hobbies_CA_2.l6 + Hobbies_CA_3.l6 + Household_1_CA_1.l6 + Household_2_CA_1.l6 + Household_1_CA_2.l6 + Household_2_CA_2.l6 + Household_1_CA_3.l6 + Household_2_CA_3.l6 + Foods_1_CA_1.l6 + Foods_2_CA_1.l6 + Foods_3_CA_1.l6 + Foods_1_CA_2.l6 + Foods_2_CA_2.l6 + Foods_3_CA_2.l6 + Foods_1_CA_3.l6 + Foods_2_CA_3.l6 + Foods_3_CA_3.l6 + Hobbies_CA_1.l7 + Hobbies_CA_2.l7 + Hobbies_CA_3.l7 + Household_1_CA_1.l7 + Household_2_CA_1.l7 + Household_1_CA_2.l7 + Household_2_CA_2.l7 + Household_1_CA_3.l7 + Household_2_CA_3.l7 + Foods_1_CA_1.l7 + Foods_2_CA_1.l7 + Foods_3_CA_1.l7 + Foods_1_CA_2.l7 + Foods_2_CA_2.l7 + Foods_3_CA_2.l7 + Foods_1_CA_3.l7 + Foods_2_CA_3.l7 + Foods_3_CA_3.l7 + const
##
## Estimate Std. Error t value Pr(>|t|)
## Hobbies_CA_1.l1 1.405e-01 1.079e-01 1.303 0.192901
## Hobbies_CA_2.l1 4.175e-02 1.379e-01 0.303 0.762061
## Hobbies_CA_3.l1 -1.215e-01 1.025e-01 -1.185 0.236038
## Household_1_CA_1.l1 -7.320e-02 2.557e-01 -0.286 0.774674
## Household_2_CA_1.l1 7.881e-01 4.208e-01 1.873 0.061223 .
## Household_1_CA_2.l1 -3.102e-01 2.562e-01 -1.211 0.226082
## Household_2_CA_2.l1 -3.153e-01 3.198e-01 -0.986 0.324349
## Household_1_CA_3.l1 -1.472e-02 1.648e-01 -0.089 0.928852
## Household_2_CA_3.l1 -3.663e-01 2.874e-01 -1.275 0.202611
## Foods_1_CA_1.l1 8.371e-01 2.923e-01 2.864 0.004229 **
## Foods_2_CA_1.l1 -8.641e-03 1.745e-01 -0.050 0.960505
## Foods_3_CA_1.l1 8.596e-02 6.019e-02 1.428 0.153422
## Foods_1_CA_2.l1 -1.965e-01 3.671e-01 -0.535 0.592490
## Foods_2_CA_2.l1 3.046e-01 2.751e-01 1.107 0.268246
## Foods_3_CA_2.l1 8.158e-02 8.009e-02 1.019 0.308510
## Foods_1_CA_3.l1 3.295e-02 2.338e-01 0.141 0.887930
## Foods_2_CA_3.l1 -4.362e-02 1.153e-01 -0.378 0.705185
## Foods_3_CA_3.l1 3.398e-01 4.532e-02 7.497 1.01e-13 ***
## Hobbies_CA_1.l2 7.533e-02 1.087e-01 0.693 0.488408
## Hobbies_CA_2.l2 -4.146e-01 1.370e-01 -3.025 0.002519 **
## Hobbies_CA_3.l2 9.909e-02 1.035e-01 0.958 0.338292
## Household_1_CA_1.l2 2.697e-01 2.592e-01 1.040 0.298257
## Household_2_CA_1.l2 2.313e-01 4.234e-01 0.546 0.585004
## Household_1_CA_2.l2 -6.645e-01 2.624e-01 -2.532 0.011411 *
## Household_2_CA_2.l2 -2.569e-01 3.224e-01 -0.797 0.425625
## Household_1_CA_3.l2 -4.834e-01 1.710e-01 -2.827 0.004748 **
## Household_2_CA_3.l2 4.238e-02 2.885e-01 0.147 0.883235
## Foods_1_CA_1.l2 -1.865e-01 3.036e-01 -0.614 0.538971
## Foods_2_CA_1.l2 1.622e-01 1.807e-01 0.897 0.369675
## Foods_3_CA_1.l2 -7.065e-02 6.271e-02 -1.127 0.260035
## Foods_1_CA_2.l2 3.121e-01 3.776e-01 0.827 0.408571
## Foods_2_CA_2.l2 -1.277e-01 2.806e-01 -0.455 0.649090
## Foods_3_CA_2.l2 -7.446e-02 8.246e-02 -0.903 0.366625
## Foods_1_CA_3.l2 5.593e-02 2.441e-01 0.229 0.818785
## Foods_2_CA_3.l2 -1.079e-01 1.234e-01 -0.874 0.382110
## Foods_3_CA_3.l2 2.009e-01 4.823e-02 4.166 3.25e-05 ***
## Hobbies_CA_1.l3 -9.263e-02 1.088e-01 -0.851 0.394699
## Hobbies_CA_2.l3 -1.162e-01 1.372e-01 -0.846 0.397407
## Hobbies_CA_3.l3 1.519e-02 1.038e-01 0.146 0.883670
## Household_1_CA_1.l3 3.370e-02 2.584e-01 0.130 0.896266
## Household_2_CA_1.l3 1.099e+00 4.229e-01 2.600 0.009394 **
## Household_1_CA_2.l3 2.395e-01 2.647e-01 0.905 0.365657
## Household_2_CA_2.l3 -3.015e-01 3.241e-01 -0.930 0.352398
## Household_1_CA_3.l3 -2.802e-01 1.722e-01 -1.627 0.103997
## Household_2_CA_3.l3 -5.197e-01 2.897e-01 -1.794 0.072979 .
## Foods_1_CA_1.l3 -8.333e-02 3.042e-01 -0.274 0.784147
## Foods_2_CA_1.l3 1.004e-01 1.820e-01 0.552 0.581070
## Foods_3_CA_1.l3 -1.227e-01 6.308e-02 -1.946 0.051847 .
## Foods_1_CA_2.l3 4.922e-01 3.768e-01 1.306 0.191649
## Foods_2_CA_2.l3 -1.561e-02 2.811e-01 -0.056 0.955717
## Foods_3_CA_2.l3 3.029e-02 8.321e-02 0.364 0.715923
## Foods_1_CA_3.l3 6.297e-02 2.435e-01 0.259 0.795945
## Foods_2_CA_3.l3 2.161e-02 1.235e-01 0.175 0.861068
## Foods_3_CA_3.l3 8.743e-02 4.840e-02 1.806 0.071024 .
## Hobbies_CA_1.l4 1.870e-01 1.088e-01 1.718 0.086041 .
## Hobbies_CA_2.l4 -2.696e-01 1.377e-01 -1.957 0.050447 .
## Hobbies_CA_3.l4 3.516e-02 1.028e-01 0.342 0.732333
## Household_1_CA_1.l4 -2.627e-01 2.586e-01 -1.016 0.309827
## Household_2_CA_1.l4 -4.758e-01 4.214e-01 -1.129 0.259012
## Household_1_CA_2.l4 4.023e-01 2.662e-01 1.511 0.130879
## Household_2_CA_2.l4 -5.118e-01 3.252e-01 -1.574 0.115665
## Household_1_CA_3.l4 1.850e-02 1.714e-01 0.108 0.914046
## Household_2_CA_3.l4 -1.486e-01 2.902e-01 -0.512 0.608723
## Foods_1_CA_1.l4 -3.405e-01 3.038e-01 -1.121 0.262578
## Foods_2_CA_1.l4 3.271e-02 1.809e-01 0.181 0.856489
## Foods_3_CA_1.l4 -4.373e-02 6.310e-02 -0.693 0.488335
## Foods_1_CA_2.l4 4.035e-01 3.780e-01 1.067 0.285921
## Foods_2_CA_2.l4 -6.488e-02 2.811e-01 -0.231 0.817470
## Foods_3_CA_2.l4 -4.330e-02 8.289e-02 -0.522 0.601478
## Foods_1_CA_3.l4 1.205e-01 2.424e-01 0.497 0.619145
## Foods_2_CA_3.l4 8.681e-05 1.235e-01 0.001 0.999439
## Foods_3_CA_3.l4 1.253e-01 4.855e-02 2.582 0.009908 **
## Hobbies_CA_1.l5 3.236e-02 1.089e-01 0.297 0.766371
## Hobbies_CA_2.l5 4.212e-02 1.372e-01 0.307 0.758937
## Hobbies_CA_3.l5 8.262e-02 1.038e-01 0.796 0.425925
## Household_1_CA_1.l5 1.365e-01 2.581e-01 0.529 0.596941
## Household_2_CA_1.l5 2.287e-02 4.224e-01 0.054 0.956827
## Household_1_CA_2.l5 -7.571e-01 2.661e-01 -2.845 0.004484 **
## Household_2_CA_2.l5 -2.734e-02 3.245e-01 -0.084 0.932850
## Household_1_CA_3.l5 3.037e-01 1.723e-01 1.763 0.078091 .
## Household_2_CA_3.l5 4.165e-01 2.907e-01 1.433 0.152028
## Foods_1_CA_1.l5 -3.126e-02 3.051e-01 -0.102 0.918406
## Foods_2_CA_1.l5 3.325e-01 1.815e-01 1.833 0.067039 .
## Foods_3_CA_1.l5 -1.480e-01 6.320e-02 -2.342 0.019300 *
## Foods_1_CA_2.l5 -7.830e-02 3.804e-01 -0.206 0.836953
## Foods_2_CA_2.l5 -1.829e-01 2.813e-01 -0.650 0.515505
## Foods_3_CA_2.l5 2.989e-02 8.308e-02 0.360 0.719063
## Foods_1_CA_3.l5 -3.239e-01 2.433e-01 -1.331 0.183220
## Foods_2_CA_3.l5 5.334e-02 1.236e-01 0.432 0.666109
## Foods_3_CA_3.l5 5.252e-02 4.855e-02 1.082 0.279451
## Hobbies_CA_1.l6 -1.024e-01 1.089e-01 -0.940 0.347118
## Hobbies_CA_2.l6 1.329e-01 1.372e-01 0.968 0.332984
## Hobbies_CA_3.l6 -8.141e-02 1.038e-01 -0.784 0.432990
## Household_1_CA_1.l6 -1.849e-02 2.579e-01 -0.072 0.942836
## Household_2_CA_1.l6 -6.139e-01 4.212e-01 -1.457 0.145165
## Household_1_CA_2.l6 -2.672e-01 2.654e-01 -1.007 0.314273
## Household_2_CA_2.l6 -1.948e-01 3.252e-01 -0.599 0.549232
## Household_1_CA_3.l6 1.390e-01 1.720e-01 0.808 0.419114
## Household_2_CA_3.l6 4.173e-01 2.901e-01 1.438 0.150491
## Foods_1_CA_1.l6 7.504e-02 3.038e-01 0.247 0.804910
## Foods_2_CA_1.l6 -1.760e-01 1.809e-01 -0.973 0.330846
## Foods_3_CA_1.l6 8.367e-02 6.334e-02 1.321 0.186633
## Foods_1_CA_2.l6 -2.612e-01 3.780e-01 -0.691 0.489637
## Foods_2_CA_2.l6 -9.144e-02 2.804e-01 -0.326 0.744371
## Foods_3_CA_2.l6 3.530e-02 8.304e-02 0.425 0.670815
## Foods_1_CA_3.l6 1.231e-01 2.429e-01 0.507 0.612450
## Foods_2_CA_3.l6 -1.399e-01 1.229e-01 -1.138 0.255073
## Foods_3_CA_3.l6 3.928e-02 4.806e-02 0.817 0.413836
## Hobbies_CA_1.l7 -2.742e-02 1.085e-01 -0.253 0.800499
## Hobbies_CA_2.l7 1.238e-01 1.358e-01 0.912 0.361920
## Hobbies_CA_3.l7 9.731e-02 1.032e-01 0.942 0.346066
## Household_1_CA_1.l7 6.591e-01 2.537e-01 2.598 0.009452 **
## Household_2_CA_1.l7 -3.540e-02 4.210e-01 -0.084 0.932995
## Household_1_CA_2.l7 1.347e+00 2.560e-01 5.264 1.58e-07 ***
## Household_2_CA_2.l7 1.483e-01 3.195e-01 0.464 0.642601
## Household_1_CA_3.l7 -6.523e-02 1.641e-01 -0.397 0.691045
## Household_2_CA_3.l7 2.545e-01 2.900e-01 0.878 0.380313
## Foods_1_CA_1.l7 -9.610e-01 2.913e-01 -3.299 0.000989 ***
## Foods_2_CA_1.l7 1.479e-01 1.724e-01 0.858 0.390955
## Foods_3_CA_1.l7 1.513e-01 6.122e-02 2.472 0.013527 *
## Foods_1_CA_2.l7 -6.314e-01 3.709e-01 -1.702 0.088873 .
## Foods_2_CA_2.l7 -5.677e-01 2.751e-01 -2.064 0.039156 *
## Foods_3_CA_2.l7 1.827e-01 8.050e-02 2.269 0.023380 *
## Foods_1_CA_3.l7 -6.613e-01 2.315e-01 -2.856 0.004337 **
## Foods_2_CA_3.l7 2.260e-01 1.148e-01 1.969 0.049048 *
## Foods_3_CA_3.l7 -2.989e-02 4.507e-02 -0.663 0.507297
## const 5.008e+02 8.892e+01 5.632 2.06e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
##
## Residual standard error: 257.6 on 1835 degrees of freedom
## Multiple R-Squared: 0.7696, Adjusted R-squared: 0.7538
## F-statistic: 48.65 on 126 and 1835 DF, p-value: < 2.2e-16
##
##
##
## Covariance matrix of residuals:
## Hobbies_CA_1 Hobbies_CA_2 Hobbies_CA_3 Household_1_CA_1
## Hobbies_CA_1 3811.7 776.8 1052.4 654.5
## Hobbies_CA_2 776.8 2363.7 793.5 361.7
## Hobbies_CA_3 1052.4 793.5 4277.8 642.7
## Household_1_CA_1 654.5 361.7 642.7 980.3
## Household_2_CA_1 312.9 185.5 288.2 242.2
## Household_1_CA_2 475.6 500.2 557.6 457.6
## Household_2_CA_2 377.1 368.6 409.9 287.6
## Household_1_CA_3 773.1 561.3 1047.5 714.9
## Household_2_CA_3 369.5 224.8 435.5 284.7
## Foods_1_CA_1 413.4 275.4 436.0 330.8
## Foods_2_CA_1 705.2 488.8 679.6 599.8
## Foods_3_CA_1 4251.5 2861.7 4029.5 3524.1
## Foods_1_CA_2 159.8 196.6 245.1 134.3
## Foods_2_CA_2 381.8 432.1 436.8 290.4
## Foods_3_CA_2 2258.3 2548.5 2543.5 1784.9
## Foods_1_CA_3 416.3 290.6 492.5 339.4
## Foods_2_CA_3 795.6 503.6 966.3 586.4
## Foods_3_CA_3 4637.0 2695.7 5415.1 3593.9
## Household_2_CA_1 Household_1_CA_2 Household_2_CA_2
## Hobbies_CA_1 312.93 475.6 377.1
## Hobbies_CA_2 185.54 500.2 368.6
## Hobbies_CA_3 288.17 557.6 409.9
## Household_1_CA_1 242.21 457.6 287.6
## Household_2_CA_1 296.47 208.0 150.7
## Household_1_CA_2 207.95 1010.0 402.8
## Household_2_CA_2 150.75 402.8 571.8
## Household_1_CA_3 307.88 642.7 427.7
## Household_2_CA_3 158.64 276.3 210.8
## Foods_1_CA_1 149.34 253.0 191.5
## Foods_2_CA_1 281.33 520.9 374.2
## Foods_3_CA_1 1670.05 3047.3 2223.6
## Foods_1_CA_2 59.29 204.9 130.2
## Foods_2_CA_2 143.10 422.0 296.0
## Foods_3_CA_2 967.81 2695.5 1880.8
## Foods_1_CA_3 163.09 289.4 219.2
## Foods_2_CA_3 277.87 574.6 416.3
## Foods_3_CA_3 1607.65 3236.9 2384.4
## Household_1_CA_3 Household_2_CA_3 Foods_1_CA_1 Foods_2_CA_1
## Hobbies_CA_1 773.1 369.47 413.4 705.25
## Hobbies_CA_2 561.3 224.84 275.4 488.82
## Hobbies_CA_3 1047.5 435.51 436.0 679.63
## Household_1_CA_1 714.9 284.68 330.8 599.79
## Household_2_CA_1 307.9 158.64 149.3 281.33
## Household_1_CA_2 642.7 276.30 253.0 520.94
## Household_2_CA_2 427.7 210.78 191.5 374.23
## Household_1_CA_3 2206.6 483.51 420.7 690.35
## Household_2_CA_3 483.5 616.79 187.5 375.92
## Foods_1_CA_1 420.7 187.47 639.9 391.44
## Foods_2_CA_1 690.4 375.92 391.4 3023.90
## Foods_3_CA_1 4229.6 2166.13 2468.2 8485.49
## Foods_1_CA_2 220.2 87.27 101.4 99.58
## Foods_2_CA_2 409.1 204.41 185.6 643.97
## Foods_3_CA_2 2650.5 1273.85 1217.0 3326.55
## Foods_1_CA_3 552.2 237.97 360.3 387.35
## Foods_2_CA_3 1052.1 479.88 430.5 2155.89
## Foods_3_CA_3 6134.3 2733.58 2716.2 7276.63
## Foods_3_CA_1 Foods_1_CA_2 Foods_2_CA_2 Foods_3_CA_2
## Hobbies_CA_1 4251.5 159.83 381.8 2258.3
## Hobbies_CA_2 2861.7 196.59 432.1 2548.5
## Hobbies_CA_3 4029.5 245.13 436.8 2543.5
## Household_1_CA_1 3524.1 134.29 290.4 1784.9
## Household_2_CA_1 1670.1 59.29 143.1 967.8
## Household_1_CA_2 3047.3 204.88 422.0 2695.5
## Household_2_CA_2 2223.6 130.20 296.0 1880.8
## Household_1_CA_3 4229.6 220.20 409.1 2650.5
## Household_2_CA_3 2166.1 87.27 204.4 1273.9
## Foods_1_CA_1 2468.2 101.36 185.6 1217.0
## Foods_2_CA_1 8485.5 99.58 644.0 3326.6
## Foods_3_CA_1 43001.1 747.76 2941.5 17792.9
## Foods_1_CA_2 747.8 318.79 175.7 1047.7
## Foods_2_CA_2 2941.5 175.71 997.0 3171.5
## Foods_3_CA_2 17792.9 1047.67 3171.5 19691.8
## Foods_1_CA_3 2607.4 124.18 235.7 1374.0
## Foods_2_CA_3 7471.2 173.95 946.0 4302.5
## Foods_3_CA_3 36979.4 874.07 3310.5 20293.6
## Foods_1_CA_3 Foods_2_CA_3 Foods_3_CA_3
## Hobbies_CA_1 416.3 795.6 4637.0
## Hobbies_CA_2 290.6 503.6 2695.7
## Hobbies_CA_3 492.5 966.3 5415.1
## Household_1_CA_1 339.4 586.4 3593.9
## Household_2_CA_1 163.1 277.9 1607.7
## Household_1_CA_2 289.4 574.6 3236.9
## Household_2_CA_2 219.2 416.3 2384.4
## Household_1_CA_3 552.2 1052.1 6134.3
## Household_2_CA_3 238.0 479.9 2733.6
## Foods_1_CA_1 360.3 430.5 2716.2
## Foods_2_CA_1 387.3 2155.9 7276.6
## Foods_3_CA_1 2607.4 7471.2 36979.4
## Foods_1_CA_2 124.2 173.9 874.1
## Foods_2_CA_2 235.7 946.0 3310.5
## Foods_3_CA_2 1374.0 4302.5 20293.6
## Foods_1_CA_3 991.8 649.6 3904.5
## Foods_2_CA_3 649.6 6128.2 14091.7
## Foods_3_CA_3 3904.5 14091.7 66345.0
##
## Correlation matrix of residuals:
## Hobbies_CA_1 Hobbies_CA_2 Hobbies_CA_3 Household_1_CA_1
## Hobbies_CA_1 1.0000 0.2588 0.2606 0.3386
## Hobbies_CA_2 0.2588 1.0000 0.2495 0.2376
## Hobbies_CA_3 0.2606 0.2495 1.0000 0.3138
## Household_1_CA_1 0.3386 0.2376 0.3138 1.0000
## Household_2_CA_1 0.2944 0.2216 0.2559 0.4493
## Household_1_CA_2 0.2424 0.3237 0.2682 0.4599
## Household_2_CA_2 0.2555 0.3171 0.2621 0.3842
## Household_1_CA_3 0.2666 0.2458 0.3409 0.4861
## Household_2_CA_3 0.2410 0.1862 0.2681 0.3661
## Foods_1_CA_1 0.2647 0.2240 0.2636 0.4176
## Foods_2_CA_1 0.2077 0.1828 0.1890 0.3484
## Foods_3_CA_1 0.3321 0.2838 0.2971 0.5428
## Foods_1_CA_2 0.1450 0.2265 0.2099 0.2402
## Foods_2_CA_2 0.1959 0.2814 0.2115 0.2938
## Foods_3_CA_2 0.2607 0.3735 0.2771 0.4063
## Foods_1_CA_3 0.2141 0.1898 0.2391 0.3442
## Foods_2_CA_3 0.1646 0.1323 0.1887 0.2392
## Foods_3_CA_3 0.2916 0.2153 0.3214 0.4456
## Household_2_CA_1 Household_1_CA_2 Household_2_CA_2
## Hobbies_CA_1 0.2944 0.2424 0.2555
## Hobbies_CA_2 0.2216 0.3237 0.3171
## Hobbies_CA_3 0.2559 0.2682 0.2621
## Household_1_CA_1 0.4493 0.4599 0.3842
## Household_2_CA_1 1.0000 0.3800 0.3661
## Household_1_CA_2 0.3800 1.0000 0.5301
## Household_2_CA_2 0.3661 0.5301 1.0000
## Household_1_CA_3 0.3806 0.4305 0.3808
## Household_2_CA_3 0.3710 0.3501 0.3549
## Foods_1_CA_1 0.3429 0.3147 0.3165
## Foods_2_CA_1 0.2971 0.2981 0.2846
## Foods_3_CA_1 0.4677 0.4624 0.4484
## Foods_1_CA_2 0.1928 0.3611 0.3050
## Foods_2_CA_2 0.2632 0.4206 0.3921
## Foods_3_CA_2 0.4005 0.6044 0.5605
## Foods_1_CA_3 0.3008 0.2891 0.2911
## Foods_2_CA_3 0.2062 0.2310 0.2224
## Foods_3_CA_3 0.3625 0.3954 0.3871
## Household_1_CA_3 Household_2_CA_3 Foods_1_CA_1 Foods_2_CA_1
## Hobbies_CA_1 0.2666 0.2410 0.2647 0.2077
## Hobbies_CA_2 0.2458 0.1862 0.2240 0.1828
## Hobbies_CA_3 0.3409 0.2681 0.2636 0.1890
## Household_1_CA_1 0.4861 0.3661 0.4176 0.3484
## Household_2_CA_1 0.3806 0.3710 0.3429 0.2971
## Household_1_CA_2 0.4305 0.3501 0.3147 0.2981
## Household_2_CA_2 0.3808 0.3549 0.3165 0.2846
## Household_1_CA_3 1.0000 0.4145 0.3540 0.2673
## Household_2_CA_3 0.4145 1.0000 0.2984 0.2753
## Foods_1_CA_1 0.3540 0.2984 1.0000 0.2814
## Foods_2_CA_1 0.2673 0.2753 0.2814 1.0000
## Foods_3_CA_1 0.4342 0.4206 0.4705 0.7441
## Foods_1_CA_2 0.2625 0.1968 0.2244 0.1014
## Foods_2_CA_2 0.2758 0.2607 0.2323 0.3709
## Foods_3_CA_2 0.4021 0.3655 0.3428 0.4311
## Foods_1_CA_3 0.3732 0.3043 0.4523 0.2237
## Foods_2_CA_3 0.2861 0.2468 0.2174 0.5008
## Foods_3_CA_3 0.5070 0.4273 0.4169 0.5137
## Foods_3_CA_1 Foods_1_CA_2 Foods_2_CA_2 Foods_3_CA_2
## Hobbies_CA_1 0.3321 0.1450 0.1959 0.2607
## Hobbies_CA_2 0.2838 0.2265 0.2814 0.3735
## Hobbies_CA_3 0.2971 0.2099 0.2115 0.2771
## Household_1_CA_1 0.5428 0.2402 0.2938 0.4063
## Household_2_CA_1 0.4677 0.1928 0.2632 0.4005
## Household_1_CA_2 0.4624 0.3611 0.4206 0.6044
## Household_2_CA_2 0.4484 0.3050 0.3921 0.5605
## Household_1_CA_3 0.4342 0.2625 0.2758 0.4021
## Household_2_CA_3 0.4206 0.1968 0.2607 0.3655
## Foods_1_CA_1 0.4705 0.2244 0.2323 0.3428
## Foods_2_CA_1 0.7441 0.1014 0.3709 0.4311
## Foods_3_CA_1 1.0000 0.2020 0.4492 0.6115
## Foods_1_CA_2 0.2020 1.0000 0.3117 0.4181
## Foods_2_CA_2 0.4492 0.3117 1.0000 0.7158
## Foods_3_CA_2 0.6115 0.4181 0.7158 1.0000
## Foods_1_CA_3 0.3993 0.2208 0.2370 0.3109
## Foods_2_CA_3 0.4602 0.1245 0.3827 0.3917
## Foods_3_CA_3 0.6923 0.1901 0.4070 0.5615
## Foods_1_CA_3 Foods_2_CA_3 Foods_3_CA_3
## Hobbies_CA_1 0.2141 0.1646 0.2916
## Hobbies_CA_2 0.1898 0.1323 0.2153
## Hobbies_CA_3 0.2391 0.1887 0.3214
## Household_1_CA_1 0.3442 0.2392 0.4456
## Household_2_CA_1 0.3008 0.2062 0.3625
## Household_1_CA_2 0.2891 0.2310 0.3954
## Household_2_CA_2 0.2911 0.2224 0.3871
## Household_1_CA_3 0.3732 0.2861 0.5070
## Household_2_CA_3 0.3043 0.2468 0.4273
## Foods_1_CA_1 0.4523 0.2174 0.4169
## Foods_2_CA_1 0.2237 0.5008 0.5137
## Foods_3_CA_1 0.3993 0.4602 0.6923
## Foods_1_CA_2 0.2208 0.1245 0.1901
## Foods_2_CA_2 0.2370 0.3827 0.4070
## Foods_3_CA_2 0.3109 0.3917 0.5615
## Foods_1_CA_3 1.0000 0.2635 0.4813
## Foods_2_CA_3 0.2635 1.0000 0.6989
## Foods_3_CA_3 0.4813 0.6989 1.0000forecast <- predict(Model_large, n.ahead = 28, ci = 0.95)
print(forecast)## $Hobbies_CA_1
## fcst lower upper CI
## [1,] 358.9287 237.9233 479.9341 121.0054
## [2,] 402.8682 278.7809 526.9555 124.0873
## [3,] 377.0117 250.5889 503.4346 126.4228
## [4,] 357.4677 229.7380 485.1974 127.7297
## [5,] 405.6928 276.1628 535.2228 129.5300
## [6,] 472.3613 340.8881 603.8345 131.4732
## [7,] 452.2460 319.5676 584.9245 132.6784
## [8,] 394.9501 258.2915 531.6086 136.6586
## [9,] 379.8163 242.1633 517.4692 137.6529
## [10,] 360.9540 222.5996 499.3084 138.3544
## [11,] 364.0735 225.1818 502.9652 138.8917
## [12,] 413.5256 273.9934 553.0578 139.5322
## [13,] 466.5464 326.0660 607.0268 140.4804
## [14,] 450.9831 309.5967 592.3696 141.3864
## [15,] 401.2206 257.7484 544.6929 143.4722
## [16,] 373.2512 229.2248 517.2776 144.0264
## [17,] 355.8781 211.4799 500.2764 144.3982
## [18,] 362.0668 217.2835 506.8502 144.7833
## [19,] 410.9191 265.6500 556.1882 145.2691
## [20,] 458.2245 312.3271 604.1219 145.8974
## [21,] 446.1196 299.4670 592.7722 146.6526
## [22,] 401.0796 252.9289 549.2304 148.1507
## [23,] 368.7035 220.1223 517.2846 148.5811
## [24,] 351.8017 202.9704 500.6330 148.8313
## [25,] 360.8646 211.7183 510.0108 149.1463
## [26,] 407.9519 258.3705 557.5334 149.5815
## [27,] 450.5369 300.4755 600.5983 150.0614
## [28,] 441.1315 290.4348 591.8282 150.6967
##
## $Hobbies_CA_2
## fcst lower upper CI
## [1,] 278.8735 183.5839 374.1632 95.28963
## [2,] 298.5986 202.0406 395.1566 96.55802
## [3,] 287.7534 189.9407 385.5662 97.81275
## [4,] 284.5131 185.6547 383.3714 98.85833
## [5,] 348.6180 248.8281 448.4079 99.78986
## [6,] 422.1095 320.4783 523.7407 101.63123
## [7,] 388.3928 285.1473 491.6383 103.24550
## [8,] 313.7582 204.8390 422.6774 108.91921
## [9,] 291.8080 182.0567 401.5592 109.75123
## [10,] 281.5261 171.3512 391.7009 110.17484
## [11,] 287.2554 176.6478 397.8630 110.60760
## [12,] 349.2816 238.2779 460.2853 111.00373
## [13,] 407.7449 296.1011 519.3887 111.64378
## [14,] 381.2055 268.4777 493.9333 112.72779
## [15,] 318.1413 202.2274 434.0552 115.91387
## [16,] 288.4567 171.9624 404.9509 116.49424
## [17,] 277.9893 161.2288 394.7498 116.76050
## [18,] 288.5465 171.5500 405.5430 116.99651
## [19,] 344.0987 226.8490 461.3483 117.24964
## [20,] 392.6954 275.1011 510.2897 117.59432
## [21,] 371.4092 252.9594 489.8590 118.44979
## [22,] 317.3130 196.7129 437.9131 120.60011
## [23,] 285.9505 164.9016 406.9995 121.04894
## [24,] 274.9539 153.7279 396.1799 121.22600
## [25,] 287.6241 166.2159 409.0323 121.40822
## [26,] 338.1360 216.5096 459.7624 121.62639
## [27,] 380.3400 258.4747 502.2053 121.86533
## [28,] 363.4109 240.8618 485.9601 122.54918
##
## $Hobbies_CA_3
## fcst lower upper CI
## [1,] 429.8989 301.7074 558.0903 128.1915
## [2,] 406.6429 275.4032 537.8826 131.2397
## [3,] 440.5208 307.3081 573.7335 133.2127
## [4,] 432.2387 297.7500 566.7274 134.4887
## [5,] 478.4770 341.5481 615.4059 136.9289
## [6,] 510.0343 371.4713 648.5974 138.5631
## [7,] 511.6487 371.1895 652.1080 140.4592
## [8,] 459.9200 315.3634 604.4766 144.5566
## [9,] 434.1646 287.9661 580.3632 146.1986
## [10,] 419.9056 272.8264 566.9848 147.0792
## [11,] 418.0697 270.3261 565.8134 147.7437
## [12,] 450.0902 301.7170 598.4634 148.3732
## [13,] 510.1837 360.9700 659.3973 149.2136
## [14,] 512.1498 361.9376 662.3621 150.2122
## [15,] 465.4441 312.9497 617.9385 152.4944
## [16,] 429.8958 276.3271 583.4646 153.5687
## [17,] 414.2112 260.1139 568.3085 154.0973
## [18,] 414.3180 259.7370 568.8989 154.5809
## [19,] 449.6389 294.5926 604.6851 155.0463
## [20,] 501.6381 345.9374 657.3389 155.7008
## [21,] 504.4024 347.9183 660.8864 156.4841
## [22,] 463.4831 305.3805 621.5857 158.1026
## [23,] 428.0100 269.0499 586.9701 158.9601
## [24,] 411.6954 252.3388 571.0521 159.3566
## [25,] 413.6077 253.8600 573.3555 159.7478
## [26,] 448.3542 288.2013 608.5071 160.1529
## [27,] 493.8313 333.1393 654.5233 160.6920
## [28,] 497.3532 336.0013 658.7052 161.3519
##
## $Household_1_CA_1
## fcst lower upper CI
## [1,] 243.0094 181.64409 304.3747 61.36530
## [2,] 213.5271 148.82811 278.2260 64.69895
## [3,] 192.2981 126.53560 258.0606 65.76250
## [4,] 187.0646 120.67122 253.4579 66.39333
## [5,] 222.9003 155.91816 289.8825 66.98218
## [6,] 304.9133 236.57553 373.2511 68.33778
## [7,] 312.3441 242.50572 382.1824 69.83837
## [8,] 260.1186 183.77424 336.4630 76.34439
## [9,] 216.4938 137.75133 295.2362 78.74244
## [10,] 194.3939 114.95511 273.8326 79.43875
## [11,] 188.4808 108.40322 268.5584 80.07757
## [12,] 227.1994 146.43458 307.9643 80.76486
## [13,] 298.3665 216.45087 380.2821 81.91561
## [14,] 311.6626 228.66352 394.6617 82.99909
## [15,] 264.9350 178.13966 351.7302 86.79529
## [16,] 219.4095 130.68494 308.1341 88.72457
## [17,] 194.7202 105.47415 283.9662 89.24601
## [18,] 191.6865 101.92736 281.4456 89.75911
## [19,] 232.1404 141.81202 322.4687 90.32834
## [20,] 294.6209 203.42399 385.8179 91.19694
## [21,] 307.6799 215.62765 399.7322 92.05228
## [22,] 266.4872 171.78577 361.1886 94.70142
## [23,] 221.6746 125.40026 317.9489 96.27432
## [24,] 196.2989 99.62028 292.9775 96.67863
## [25,] 195.5911 98.50396 292.6782 97.08710
## [26,] 235.3918 137.80463 332.9790 97.58718
## [27,] 291.1887 192.93040 389.4470 98.25832
## [28,] 303.7182 204.75439 402.6820 98.96381
##
## $Household_2_CA_1
## fcst lower upper CI
## [1,] 127.2304 93.48302 160.9777 33.74734
## [2,] 117.6514 82.79923 152.5035 34.85216
## [3,] 114.6830 79.30186 150.0642 35.38117
## [4,] 113.8065 78.01713 149.5958 35.78934
## [5,] 133.3730 97.25122 169.4948 36.12178
## [6,] 159.6926 123.02582 196.3594 36.66681
## [7,] 153.0869 115.40583 190.7680 37.68108
## [8,] 128.8908 88.39464 169.3870 40.49620
## [9,] 113.9008 72.79024 155.0113 41.11053
## [10,] 108.9447 67.46391 150.4256 41.48084
## [11,] 110.2075 68.38540 152.0295 41.82205
## [12,] 131.4052 89.25468 173.5558 42.15056
## [13,] 157.4186 114.77099 200.0662 42.64761
## [14,] 153.0666 109.84944 196.2838 43.21716
## [15,] 128.6132 83.89851 173.3280 44.71473
## [16,] 112.1175 66.95879 157.2762 45.15869
## [17,] 106.1320 60.71782 151.5461 45.41413
## [18,] 109.3091 63.61334 155.0048 45.69571
## [19,] 130.7397 84.76138 176.7181 45.97834
## [20,] 154.1041 107.75895 200.4493 46.34517
## [21,] 150.8603 104.07937 197.6411 46.78089
## [22,] 128.5146 80.71005 176.3191 47.80450
## [23,] 111.3838 63.22546 159.5421 48.15830
## [24,] 104.6611 56.32676 152.9953 48.33429
## [25,] 109.2353 60.67503 157.7956 48.56031
## [26,] 130.1156 81.30643 178.9248 48.80917
## [27,] 151.1703 102.08377 200.2568 49.08654
## [28,] 148.7052 99.26784 198.1425 49.43733
##
## $Household_1_CA_2
## fcst lower upper CI
## [1,] 265.1649 202.8770 327.4529 62.28792
## [2,] 233.0390 168.1121 297.9660 64.92696
## [3,] 221.6484 156.0214 287.2755 65.62702
## [4,] 209.8865 143.8209 275.9520 66.06558
## [5,] 269.4425 202.6940 336.1911 66.74856
## [6,] 360.4553 292.6654 428.2453 67.78997
## [7,] 352.3699 283.2741 421.4657 69.09582
## [8,] 277.2038 198.0516 356.3561 79.15226
## [9,] 232.3746 151.3382 313.4109 81.03632
## [10,] 218.6876 137.3322 300.0429 81.35539
## [11,] 218.5943 136.9432 300.2455 81.65116
## [12,] 277.7800 195.7338 359.8262 82.04621
## [13,] 353.3556 270.6126 436.0986 82.74299
## [14,] 346.5131 262.6951 430.3311 83.81797
## [15,] 281.1486 191.7214 370.5757 89.42717
## [16,] 235.7454 144.6829 326.8078 91.06244
## [17,] 218.5985 127.2883 309.9087 91.31020
## [18,] 222.7696 131.2043 314.3350 91.56532
## [19,] 278.6822 186.8053 370.5591 91.87687
## [20,] 344.9272 252.5737 437.2807 92.35347
## [21,] 340.6540 247.4085 433.8996 93.24551
## [22,] 283.0155 186.0205 380.0105 96.99499
## [23,] 237.6523 139.2764 336.0283 98.37598
## [24,] 218.3496 119.7714 316.9278 98.57819
## [25,] 225.7478 126.9401 324.5556 98.80773
## [26,] 278.5531 179.4598 377.6464 99.09329
## [27,] 337.1237 237.6863 436.5610 99.43738
## [28,] 334.7783 234.5847 434.9719 100.19360
##
## $Household_2_CA_2
## fcst lower upper CI
## [1,] 217.0077 170.14113 263.8743 46.86657
## [2,] 185.3621 137.07199 233.6521 48.29007
## [3,] 170.9366 121.90132 219.9719 49.03530
## [4,] 174.2822 124.96460 223.5998 49.31760
## [5,] 220.0242 170.59650 269.4520 49.42773
## [6,] 277.9486 227.80540 328.0918 50.14320
## [7,] 264.6898 213.56498 315.8146 51.12480
## [8,] 206.7968 148.83581 264.7578 57.96097
## [9,] 177.5701 118.46278 236.6774 59.10730
## [10,] 168.5796 109.13048 228.0288 59.44915
## [11,] 170.5678 110.96474 230.1709 59.60307
## [12,] 210.4324 150.71158 270.1533 59.72085
## [13,] 262.1293 201.88545 322.3731 60.24382
## [14,] 252.2281 191.26752 313.1888 60.96062
## [15,] 203.5036 138.83941 268.1677 64.66416
## [16,] 173.9096 108.35686 239.4622 65.55269
## [17,] 163.9646 98.20461 229.7245 65.75995
## [18,] 167.5993 101.70568 233.4928 65.89357
## [19,] 206.0026 139.97650 272.0286 66.02607
## [20,] 250.6217 184.22874 317.0147 66.39297
## [21,] 243.7092 176.72269 310.6958 66.98654
## [22,] 201.5914 132.21484 270.9679 69.37655
## [23,] 171.9698 101.88555 242.0541 70.08425
## [24,] 160.7131 90.49294 230.9332 70.22013
## [25,] 166.3108 95.95779 236.6638 70.35302
## [26,] 202.7145 132.20336 273.2256 70.51113
## [27,] 241.9370 171.15285 312.7212 70.78418
## [28,] 237.1791 165.90565 308.4525 71.27342
##
## $Household_1_CA_3
## fcst lower upper CI
## [1,] 421.9166 329.8477 513.9854 92.06882
## [2,] 387.6610 289.3088 486.0132 98.35223
## [3,] 352.8078 252.6367 452.9789 100.17108
## [4,] 342.8943 241.9407 443.8480 100.95361
## [5,] 387.6490 285.8348 489.4632 101.81420
## [6,] 473.3061 369.7535 576.8586 103.55257
## [7,] 490.4967 384.7823 596.2112 105.71447
## [8,] 441.2958 328.2094 554.3822 113.08641
## [9,] 397.1433 280.7403 513.5462 116.40294
## [10,] 365.7418 248.1759 483.3077 117.56589
## [11,] 348.7420 230.2885 467.1956 118.45355
## [12,] 390.0811 270.6816 509.4807 119.39959
## [13,] 472.3008 351.3006 593.3009 121.00016
## [14,] 496.8598 374.2446 619.4749 122.61518
## [15,] 453.1097 326.5163 579.7031 126.59337
## [16,] 403.9012 274.8054 532.9969 129.09573
## [17,] 369.0801 239.0349 499.1253 130.04519
## [18,] 355.8108 225.0055 486.6161 130.80528
## [19,] 397.5105 265.8717 529.1493 131.63879
## [20,] 471.3189 338.3995 604.2382 132.91933
## [21,] 495.3287 361.1705 629.4869 134.15824
## [22,] 457.3517 320.4185 594.2848 136.93317
## [23,] 408.2066 269.2595 547.1538 138.94717
## [24,] 372.7011 232.9692 512.4331 139.73196
## [25,] 362.7190 222.3758 503.0622 140.34321
## [26,] 403.3810 262.3314 544.4306 141.04959
## [27,] 469.5882 327.5466 611.6298 142.04161
## [28,] 492.3460 349.3206 635.3714 143.02543
##
## $Household_2_CA_3
## fcst lower upper CI
## [1,] 213.4396 164.7636 262.1157 48.67604
## [2,] 189.6995 139.6224 239.7766 50.07712
## [3,] 189.0731 138.4074 239.7387 50.66564
## [4,] 177.3561 126.1424 228.5697 51.21364
## [5,] 201.3142 149.5704 253.0579 51.74372
## [6,] 235.3890 182.8795 287.8985 52.50949
## [7,] 236.1078 182.0345 290.1811 54.07330
## [8,] 209.1363 152.1416 266.1310 56.99469
## [9,] 187.3651 129.3842 245.3459 57.98089
## [10,] 179.4336 121.0746 237.7926 58.35902
## [11,] 176.1294 117.4000 234.8587 58.72935
## [12,] 195.6058 136.4943 254.7174 59.11158
## [13,] 228.0857 168.4781 287.6932 59.60753
## [14,] 232.2903 172.1493 292.4312 60.14095
## [15,] 207.2839 145.6701 268.8977 61.61383
## [16,] 185.4649 123.1450 247.7848 62.31989
## [17,] 175.1485 112.5938 237.7031 62.55467
## [18,] 174.2807 111.4597 237.1017 62.82098
## [19,] 193.7496 130.6726 256.8266 63.07702
## [20,] 223.0766 159.6583 286.4949 63.41829
## [21,] 227.7140 163.9417 291.4863 63.77233
## [22,] 206.0076 141.2718 270.7434 64.73580
## [23,] 184.2001 118.9296 249.4707 65.27054
## [24,] 173.0307 107.6035 238.4580 65.42726
## [25,] 173.3551 107.7357 238.9744 65.61933
## [26,] 192.6927 126.8666 258.5188 65.82609
## [27,] 219.2481 153.1638 285.3324 66.08430
## [28,] 224.0060 157.6591 290.3528 66.34682
##
## $Foods_1_CA_1
## fcst lower upper CI
## [1,] 160.3520 110.77224 209.9318 49.57980
## [2,] 154.5374 100.31907 208.7556 54.21829
## [3,] 145.9869 89.79742 202.1764 56.18952
## [4,] 137.7428 79.88891 195.5966 57.85386
## [5,] 149.9671 90.77442 209.1597 59.19266
## [6,] 187.8962 127.53608 248.2564 60.36014
## [7,] 200.7784 139.42452 262.1323 61.35388
## [8,] 177.7526 114.93209 240.5731 62.82052
## [9,] 153.8516 90.40269 217.3004 63.44888
## [10,] 138.9628 75.27637 202.6493 63.68645
## [11,] 135.3451 71.36741 199.3227 63.97766
## [12,] 154.5930 90.26527 218.9207 64.32771
## [13,] 189.3674 124.59435 254.1405 64.77306
## [14,] 198.7377 133.77156 263.7038 64.96614
## [15,] 178.4589 112.78129 244.1365 65.67760
## [16,] 155.2952 89.19440 221.3960 66.10079
## [17,] 139.9969 73.76873 206.2250 66.22816
## [18,] 136.9770 70.55098 203.4030 66.42601
## [19,] 156.4974 89.79819 223.1966 66.69922
## [20,] 187.9170 120.87873 254.9552 67.03824
## [21,] 197.0179 129.83533 264.2005 67.18259
## [22,] 179.0994 111.37484 246.8239 67.72452
## [23,] 156.2093 88.13897 224.2796 68.07031
## [24,] 140.9228 72.78820 209.0574 68.13457
## [25,] 139.0391 70.77139 207.3069 68.26774
## [26,] 158.3783 89.89042 226.8661 68.48784
## [27,] 186.7622 118.01810 255.5063 68.74411
## [28,] 195.4071 126.54327 264.2710 68.86387
##
## $Foods_2_CA_1
## fcst lower upper CI
## [1,] 321.0996 213.3211 428.8781 107.7785
## [2,] 317.9949 199.5009 436.4890 118.4940
## [3,] 319.7895 197.6746 441.9043 122.1149
## [4,] 289.1531 165.1210 413.1853 124.0322
## [5,] 331.6913 206.6141 456.7686 125.0772
## [6,] 421.1224 294.2257 548.0191 126.8967
## [7,] 409.4161 280.7843 538.0479 128.6318
## [8,] 340.4146 202.5485 478.2808 137.8662
## [9,] 303.3709 160.7873 445.9544 142.5836
## [10,] 289.1636 144.2737 434.0535 144.8899
## [11,] 283.3044 137.0250 429.5837 146.2794
## [12,] 327.1202 179.8014 474.4391 147.3189
## [13,] 404.3216 255.7932 552.8500 148.5284
## [14,] 402.9190 253.1364 552.7017 149.7826
## [15,] 340.2328 185.7160 494.7496 154.5168
## [16,] 293.7490 136.4242 451.0739 157.3249
## [17,] 275.9946 117.3644 434.6248 158.6302
## [18,] 277.9988 118.4595 437.5380 159.5392
## [19,] 327.0158 166.7251 487.3065 160.2907
## [20,] 394.6856 233.6097 555.7615 161.0759
## [21,] 395.1891 233.1382 557.2401 162.0509
## [22,] 337.3401 172.1458 502.5344 165.1943
## [23,] 288.5876 121.4821 455.6931 167.1055
## [24,] 268.4380 100.5250 436.3510 167.9130
## [25,] 275.6091 107.0734 444.1448 168.5357
## [26,] 326.4975 157.4161 495.5788 169.0813
## [27,] 387.4708 217.8578 557.0839 169.6131
## [28,] 388.4382 218.0442 558.8323 170.3941
##
## $Foods_3_CA_1
## fcst lower upper CI
## [1,] 1753.694 1347.2621 2160.126 406.4319
## [2,] 1635.854 1191.5182 2080.190 444.3361
## [3,] 1580.380 1125.0885 2035.671 455.2913
## [4,] 1494.274 1033.8551 1954.692 460.4185
## [5,] 1676.132 1211.4854 2140.779 464.6469
## [6,] 2149.702 1679.6051 2619.800 470.0972
## [7,] 2176.578 1700.6414 2652.515 475.9369
## [8,] 1824.479 1296.8176 2352.141 527.6618
## [9,] 1583.890 1035.3613 2132.420 548.5291
## [10,] 1480.336 924.7456 2035.927 555.5909
## [11,] 1448.437 888.4820 2008.391 559.9546
## [12,] 1679.665 1116.3919 2242.937 563.2727
## [13,] 2099.273 1532.1517 2666.394 567.1210
## [14,] 2144.572 1573.5017 2715.642 571.0700
## [15,] 1825.152 1227.4215 2422.883 597.7307
## [16,] 1551.026 938.8634 2163.188 612.1624
## [17,] 1428.351 811.6054 2045.097 616.7457
## [18,] 1429.267 808.8523 2049.682 620.4149
## [19,] 1684.549 1061.0734 2308.024 623.4754
## [20,] 2062.628 1436.0200 2689.236 626.6081
## [21,] 2108.820 1478.5374 2739.103 630.2829
## [22,] 1816.813 1168.6354 2464.991 648.1776
## [23,] 1533.978 875.1686 2192.787 658.8093
## [24,] 1399.992 738.1762 2061.808 661.8158
## [25,] 1422.889 758.2133 2087.565 664.6756
## [26,] 1687.249 1019.9007 2354.597 667.3481
## [27,] 2031.380 1361.5384 2701.221 669.8411
## [28,] 2076.524 1403.4049 2749.644 673.1195
##
## $Foods_1_CA_2
## fcst lower upper CI
## [1,] 190.0108 155.01631 225.0054 34.99452
## [2,] 146.8403 109.42694 184.2537 37.41336
## [3,] 132.1501 94.29315 170.0071 37.85698
## [4,] 153.2059 115.05804 191.3537 38.14781
## [5,] 181.5359 143.13049 219.9413 38.40539
## [6,] 229.4205 190.84469 267.9963 38.57581
## [7,] 226.0131 186.58746 265.4387 39.42564
## [8,] 190.6379 146.46199 234.8137 44.17587
## [9,] 156.9435 110.86151 203.0254 46.08197
## [10,] 146.0982 99.52141 192.6751 46.57683
## [11,] 155.5169 108.73313 202.3006 46.78373
## [12,] 182.2095 135.27302 229.1459 46.93646
## [13,] 216.0897 168.94522 263.2342 47.14448
## [14,] 216.6985 168.78660 264.6103 47.91187
## [15,] 189.7318 139.51497 239.9487 50.21687
## [16,] 164.0427 112.44411 215.6413 51.59859
## [17,] 154.3842 102.28225 206.4862 52.10199
## [18,] 159.3977 107.03477 211.7606 52.36293
## [19,] 181.2853 128.72219 233.8484 52.56312
## [20,] 207.5952 154.75881 260.4316 52.83640
## [21,] 209.7927 156.28383 263.3017 53.50891
## [22,] 189.1336 134.12454 244.1427 55.00908
## [23,] 168.2899 112.22162 224.3582 56.06831
## [24,] 159.1285 102.58937 215.6677 56.53916
## [25,] 162.3496 105.51752 219.1817 56.83207
## [26,] 180.4440 123.36741 237.5205 57.07654
## [27,] 201.9436 144.56114 259.3260 57.38244
## [28,] 204.6746 146.69561 262.6536 57.97899
##
## $Foods_2_CA_2
## fcst lower upper CI
## [1,] 233.2706 171.3838 295.1575 61.88681
## [2,] 204.3683 139.0697 269.6668 65.29852
## [3,] 219.5274 153.2505 285.8043 66.27689
## [4,] 236.1288 169.2265 303.0310 66.90229
## [5,] 286.0637 218.6985 353.4290 67.36527
## [6,] 339.6164 271.6597 407.5731 67.95668
## [7,] 315.3571 246.3568 384.3573 69.00023
## [8,] 252.2627 177.9828 326.5425 74.27987
## [9,] 221.5166 145.7443 297.2889 75.77229
## [10,] 224.5818 148.1872 300.9764 76.39460
## [11,] 237.9785 161.2624 314.6946 76.71609
## [12,] 283.4185 206.4045 360.4325 77.01400
## [13,] 327.4959 250.0291 404.9628 77.46681
## [14,] 311.3823 233.1244 389.6403 78.25792
## [15,] 259.7907 178.7921 340.7892 80.99856
## [16,] 229.9025 147.9795 311.8256 81.92305
## [17,] 226.8110 144.5125 309.1095 82.29852
## [18,] 240.2616 157.7079 322.8153 82.55373
## [19,] 280.8754 198.0821 363.6688 82.79337
## [20,] 318.6063 235.5028 401.7098 83.10353
## [21,] 306.5196 222.7502 390.2889 83.76934
## [22,] 263.1574 177.5109 348.8039 85.64651
## [23,] 234.5422 148.1814 320.9030 86.36084
## [24,] 228.7445 142.1224 315.3666 86.62208
## [25,] 241.6568 154.8077 328.5060 86.84915
## [26,] 278.4563 191.3904 365.5222 87.06590
## [27,] 311.4077 224.1049 398.7104 87.30279
## [28,] 302.2570 214.3737 390.1403 87.88330
##
## $Foods_3_CA_2
## fcst lower upper CI
## [1,] 1558.568 1283.5314 1833.605 275.0370
## [2,] 1357.439 1065.6048 1649.274 291.8347
## [3,] 1303.305 1006.3098 1600.300 296.9951
## [4,] 1354.627 1055.6187 1653.636 299.0087
## [5,] 1608.663 1307.3460 1909.979 301.3165
## [6,] 1987.155 1682.8710 2291.438 304.2837
## [7,] 1917.097 1608.1136 2226.081 308.9838
## [8,] 1578.899 1229.0480 1928.749 349.8506
## [9,] 1371.194 1011.3217 1731.066 359.8719
## [10,] 1321.292 958.5280 1684.055 362.7636
## [11,] 1362.291 997.5939 1726.989 364.6975
## [12,] 1612.982 1246.1513 1979.812 366.8304
## [13,] 1918.193 1549.2110 2287.175 368.9819
## [14,] 1874.135 1500.6967 2247.573 373.4384
## [15,] 1587.187 1191.2587 1983.115 395.9283
## [16,] 1386.887 983.2856 1790.488 403.6012
## [17,] 1327.282 921.6418 1732.922 405.6403
## [18,] 1375.996 968.5478 1783.445 407.4487
## [19,] 1609.624 1200.4819 2018.767 409.1425
## [20,] 1869.005 1458.2911 2279.719 410.7137
## [21,] 1837.967 1423.0569 2252.877 414.9099
## [22,] 1590.510 1160.3891 2020.631 430.1210
## [23,] 1398.397 962.0265 1834.768 436.3708
## [24,] 1332.721 894.8083 1770.633 437.9124
## [25,] 1385.987 946.5283 1825.445 439.4583
## [26,] 1603.732 1162.8602 2044.604 440.8717
## [27,] 1829.553 1387.4380 2271.668 442.1149
## [28,] 1807.482 1361.5887 2253.375 445.8933
##
## $Foods_1_CA_3
## fcst lower upper CI
## [1,] 217.6243 155.8987 279.3499 61.72564
## [2,] 214.0794 146.8003 281.3586 67.27915
## [3,] 194.7115 124.1173 265.3056 70.59413
## [4,] 179.4514 106.4324 252.4704 73.01899
## [5,] 181.4591 105.8495 257.0687 75.60958
## [6,] 231.3835 153.9440 308.8230 77.43950
## [7,] 249.3333 170.2067 328.4599 79.12664
## [8,] 229.8045 149.0756 310.5334 80.72893
## [9,] 211.3797 129.8789 292.8805 81.50076
## [10,] 196.6633 114.7392 278.5873 81.92404
## [11,] 183.6838 101.3889 265.9787 82.29491
## [12,] 192.0319 109.4279 274.6359 82.60395
## [13,] 231.9870 148.7176 315.2564 83.26941
## [14,] 250.8461 167.1710 334.5211 83.67503
## [15,] 235.4118 151.2410 319.5826 84.17083
## [16,] 215.0265 130.4475 299.6054 84.57898
## [17,] 199.1363 114.3755 283.8972 84.76085
## [18,] 186.8653 101.9089 271.8217 84.95645
## [19,] 198.0805 112.9107 283.2502 85.16974
## [20,] 232.6522 147.0085 318.2958 85.64369
## [21,] 250.0314 164.1491 335.9136 85.88223
## [22,] 237.2369 151.0080 323.4657 86.22885
## [23,] 216.9343 130.3841 303.4846 86.55024
## [24,] 200.5215 113.8834 287.1596 86.63809
## [25,] 190.1713 103.4215 276.9211 86.74976
## [26,] 202.0321 115.1227 288.9415 86.90942
## [27,] 232.7016 145.4525 319.9506 87.24902
## [28,] 248.7372 161.3239 336.1504 87.41325
##
## $Foods_2_CA_3
## fcst lower upper CI
## [1,] 413.3519 259.9202 566.7835 153.4317
## [2,] 358.7187 189.0614 528.3760 169.6573
## [3,] 391.0656 214.6504 567.4808 176.4152
## [4,] 399.5805 218.7533 580.4078 180.8273
## [5,] 452.6328 266.9399 638.3256 185.6928
## [6,] 527.0910 337.1287 717.0533 189.9623
## [7,] 529.1461 336.4112 721.8809 192.7348
## [8,] 463.2469 261.6197 664.8741 201.6272
## [9,] 419.5314 211.8607 627.2020 207.6707
## [10,] 405.2699 193.4415 617.0982 211.8283
## [11,] 401.2998 186.2038 616.3959 215.0961
## [12,] 457.2854 239.3691 675.2018 217.9164
## [13,] 533.0547 312.4873 753.6221 220.5674
## [14,] 538.8949 315.8781 761.9116 223.0167
## [15,] 482.2016 254.7041 709.6991 227.4975
## [16,] 434.6152 203.4942 665.7363 231.1211
## [17,] 411.3976 177.6662 645.1290 233.7314
## [18,] 414.8085 178.9004 650.7167 235.9082
## [19,] 467.8047 229.9540 705.6555 237.8507
## [20,] 534.2187 294.6098 773.8276 239.6089
## [21,] 540.3599 298.9584 781.7614 241.4015
## [22,] 489.7584 245.3059 734.2108 244.4525
## [23,] 440.8444 193.8673 687.8215 246.9771
## [24,] 416.3162 167.6026 665.0297 248.7136
## [25,] 423.3448 173.1558 673.5338 250.1890
## [26,] 474.4849 222.9632 726.0066 251.5217
## [27,] 533.9131 281.2122 786.6141 252.7009
## [28,] 539.6157 285.6085 793.6230 254.0073
##
## $Foods_3_CA_3
## fcst lower upper CI
## [1,] 2146.234 1641.396 2651.073 504.8383
## [2,] 1889.279 1336.119 2442.440 553.1607
## [3,] 1972.907 1399.291 2546.524 573.6167
## [4,] 1872.808 1284.213 2461.404 588.5954
## [5,] 2004.773 1399.844 2609.701 604.9282
## [6,] 2368.877 1749.789 2987.966 619.0888
## [7,] 2513.023 1882.457 3143.589 630.5656
## [8,] 2248.045 1582.137 2913.953 665.9080
## [9,] 2033.433 1348.128 2718.737 685.3043
## [10,] 1940.479 1244.917 2636.041 695.5618
## [11,] 1856.969 1152.583 2561.356 704.3864
## [12,] 2025.073 1312.800 2737.345 712.2725
## [13,] 2411.874 1691.259 3132.488 720.6145
## [14,] 2532.419 1806.229 3258.608 726.1894
## [15,] 2307.023 1563.235 3050.811 743.7877
## [16,] 2067.722 1309.967 2825.477 757.7549
## [17,] 1930.098 1165.118 2695.078 764.9799
## [18,] 1876.758 1105.636 2647.881 771.1229
## [19,] 2062.875 1285.983 2839.767 776.8917
## [20,] 2417.341 1634.635 3200.047 782.7062
## [21,] 2534.851 1747.897 3321.804 786.9538
## [22,] 2332.519 1533.343 3131.696 799.1763
## [23,] 2084.724 1274.905 2894.543 809.8187
## [24,] 1930.626 1115.801 2745.451 814.8253
## [25,] 1895.208 1076.112 2714.303 819.0955
## [26,] 2089.490 1266.243 2912.737 823.2471
## [27,] 2414.684 1587.338 3242.031 827.3464
## [28,] 2525.889 1695.225 3356.554 830.6645